- Darryl Macer, Hiroko Obata (Macer@biol.tsukuba.ac.jp)
Institute of Biological Sciences, University
of Tsukuba, Tsukuba Science City 305, JAPAN
- Mairi Levitt (m.a.levitt@uclan.ac.uk)
Centre for Professional Ethics, University
of Central Lancashire, Preston PR1 2HE, UK
- Howard Bezar (BezarH@Lincoln.cri.nz)
Crop and Food Research, Private Bag 4704,
Christchurch, New Zealand
- Ken Daniels (k.daniels@sowk.canterbury.ac.nz)
Dept. of Social Work, University of Canterbury,
Private Bag 4800, Christchurch, New Zealand
Eubios Journal of Asian and International Bioethics 7 (1997), 111-4.
This paper focuses on the results in Japan and New Zealand. A more detailed analysis will be made considering the results in all countries later. The full survey can be obtained for those who would like to conduct the survey in their own countries for comparisons. The total sizes were: Britain 238, Finland 130, Germany 86, Japan 395, New Zealand 287, and Spain 200. In Japan the study was conducted by Hiroko Obata and Darryl Macer, and in New Zealand in addition with Ken Daniels and Howard Bezar who contacted local teachers and schools. The sampling was conducted between October, 1996 to January, 1997. All the data was input in Japan, with the open comments being assigned to categories in a similar way to that described in Macer (1994). The New Zealand data categories were checked for consistency in the UK by Mairi Levitt in order to allow comparisons with European data.
Student Characteristics
Schools were chosen as a pilot study to cover a range of education abilities and social classes, and rural and urban environments. Because the teachers requested the surveys within class, the response rates within each class were almost total. However, not all schools or teachers that were approached permitted the survey to be conducted, especially in Japan, like Germany.
Three main age groups were selected to represent the ages when children left different stages of schooling, as chosen in Europe, 11-12, 14-15, and 17-18 year olds. The number of students within each age group in New Zealand was: 11-12 (N=74, 25%), 14-15 (N=100, 34%), 17-18 (N=55, 19%), with 50 13 year olds and 11 16 year olds; and in Japan: 11-12 (N=100, 26%), 14-15 (N=115, 30%), 17-18 (N=150, 39%), with 25 16 year olds. The sex ratios were generally even, except that more female students were included in the 17-18 year old samples in both countries. The proportion of females in each sample were: Total NZ 52%, J 63%; 11-12 NZ 49%, J 50%; 14-15 NZ 59%, J 56%; 17-18 NZ 63%, J 79%.
The students were asked an open question,
"What would you like to do when you finish at your present
school/college?". In both countries two thirds indicated
further or higher education. The top four choices of future job
direction in NZ for males were: Science/technology, Profession,
Arts, Adventure/ travel; and for females: Social/caring, Arts,
Science, Adventure; and in Japan for males, Adventure, Science,
Profession, Arts; and for females, Social, Arts, Adventure, Science.
The same sex trends were observed in the four European countries
for girls to chose arts or social occupation. Japanese males
were the only country where science/technology was not the premier
choice. Only 4% in NZ and none in Japan cited environment/agriculture
as a future; and 5% in NZ and 1% in Japan cited working with animals.
However 52% in Japan and 20% in New Zealand did not answer this
question of future plans.
Concerns
The students were asked, "Q. What sorts of things are you concerned about or worry about at the moment? Write them down in the "thinking" bubbles below" (3 bubbles given). It was an open question, like most of the survey. The concerns were categorized into the 34 categories, which were then grouped into the following 7 broad categories: own, family, out (outside of them, including:), environment, social, animal and biotechnology among the different age groups (Table 1).
Comparisons to Europe are also made (Table
2). There was a major difference between NZ out (54%) and J out
(18%), reflected also in social, environment, animal and biotechnology
concerns. More Japan students expressed a concern about themselves,
except for the 11-12 year olds which was the result of opinions
at one school which may have had a more direct environmental education.
Further analysis will be made. Generally, in Europe more students
expressed concerns outside of themselves.
Table 1: Concerns that students expressed
| % | Total | 11-12 | 14-15 | 17-18 |
| New Zealand | ||||
| Own | 64.7 | 58.1 | 62.0 | 62.5 |
| Family | 4.2 | 0 | 12.0 | 1.8 |
| Out | 54 | 55.4 | 59.8 | 51.8 |
| environment | 40.5 | 41.9 | 42.4 | 41.1 |
| social | 36.0 | 43.4 | 40.2 | 30.4 |
| animal | 9.3 | 12.2 | 13.0 | 7.1 |
| biotechnology | 1.7 | 0 | 0 | 6.9 |
| Japan | ||||
| Own | 63.8 | 29 | 81.7 | 68 |
| Family | 2.8 | 2 | 1.7 | 4 |
| Out | 29.7 | 59 | 13.9 | 26 |
| environment | 23.1 | 56 | 8.7 | 15.3 |
| social | 10.3 | 7 | 7 | 16 |
| animal | .3 | 1 | 0 | 0 |
| biotechnology | 0 | 0 | 0 | 0 |
Table 2: Concerns that students expressed in the six countries (%)
| Type | NZ | Japan | UK | Finland | Germany | Spain |
| own | 65 | 64 | 63 | 44 | 66 | 55 |
| family | 4 | 3 | 13 | 7 | 4 | 19 |
| out | 54 | 30 | 67 | 81 | 84 | 79 |
| environment | 41 | 23 | 52 | 57 | 58 | 57 |
| social | 36 | 10 | 33 | 66 | 52 | 61 |
| animal | 9 | 0.3 | 21 | 7 | 0 | 7 |
| biotechnology | 2 | 0 | 5 | 2 | 4 | 2 |
Views of science and technology
There was an open question on the advantages and disadvantages of science, "Q. Human beings can use science and technology to do what they want. Do you agree or disagree?". There were not major differences between age groups in this question. The total who agreed were NZ 42%, J 37% (compare Britain 38%, Finland 21%, Germany 4%, Spain 24%); and those who disagreed, NZ 66%, J 54% (compare Britain 62%, Finland 79%, Germany 96%, Spain 76%). In the European surveys 11% answered both bubbles, 10% in NZ but only 3% in Japan.
The major
reasons for agreement were categorized as: Science makes the world
a better place (14% in NZ, 1.4% in Japan); We must find new knowledge
(13% in NZ, 26% in Japan); Science is all powerful (5% in NZ,
5% in Japan). The major reasons for disagreement were: Cruelty
or ethics (NZ 11%, Japan 38%; compare to: UK 23%, Finland 37%,
Germany 46%, Spain 47%), Exploitation/misuse (9% in NZ, 15% in
Japan), Science is not all powerful (11% in NZ, 8% in Japan),
More harm/unforeseen consequences (NZ 13%, Japan 4%; Compare to:
UK 20%, Finland 40%, Germany 57%, Spain 26%).
Trust in groups
The opinions that we have and develop about biotechnology are related to the information we receive and from whom it comes. A list of the sort of people and groups who might talk about biotechnology was given, Q. would you tend to trust what they say? Circle a number to show how much trust you would have in what they say: 1 is the lowest (you would not trust what they say at all); 5 is the highest (you would trust them a lot). The results are in Table 3, and show there is great distrust of politicians, and varied trust in other persons.
Students in NZ were more trusting on the
scale than in Japan, as were the public and medical students in
the 1993 International Bioethics Survey (Macer, 1994). In NZ,
scientists, doctors were trusted significantly more than other
groups. In Japan doctors are trusted less, and the result shows
that this distrust extends to 11-12 year olds. Politicians, journalists,
companies were least trusted in both countries. Priests were
not trusted in Japan. Books were of intermediate trust in both.
Teachers and environmental groups were trusted relatively more
in Japan, whereas they were intermediate in NZ.
Table 3: Trust in sources of information
about biotechnology in New Zealand and Japan (%) 1
= no trust; 5 = a lot of trust
| % | ||||||||
| Teacher | 5.1 | 5.3 | 8.2 | 7 | 6.1 | 4.4 | 1.8 | 5.7 |
| 2 | 12.0 | 14.2 | 13.7 | 12 | 11.2 | 11.3 | 10.7 | 17.1 |
| 3 | 36.2 | 39.5 | 38.4 | 33 | 34.7 | 33.0 | 37.5 | 46.4 |
| 4 | 35.5 | 28.2 | 28.8 | 30 | 38.8 | 33.9 | 35.7 | 22.9 |
| 5 | 11.2 | 12.9 | 10.9 | 18 | 9.2 | 17.4 | 14.3 | 7.9 |
| Doctor | 2.4 | 5.5 | 4.2 | 12 | 1.0 | 4.4 | 3.6 | 2.9 |
| 2 | 7.9 | 8.7 | 11.3 | 13 | 8.2 | 7.0 | 7.1 | 5.7 |
| 3 | 20.6 | 36.8 | 21.1 | 39 | 16.3 | 31.3 | 28.6 | 41.4 |
| 4 | 39.5 | 35.3 | 29.6 | 25 | 44.9 | 36.5 | 37.5 | 38.6 |
| 5 | 29.6 | 13.7 | 33.8 | 11 | 29.6 | 20.9 | 23.2 | 11.4 |
| Scientist | 4.5 | 4.7 | 1.4 | 6 | 5.1 | 4.4 | 3.6 | 2.9 |
| 2 | 8.6 | 18.4 | 6.9 | 16 | 6.1 | 17.4 | 8.9 | 5.7 |
| 3 | 20.6 | 33.2 | 22.2 | 19 | 15.3 | 38.3 | 23.2 | 41.4 |
| 4 | 32.3 | 26.8 | 23.6 | 29 | 39.8 | 27.8 | 39.3 | 38.6 |
| 5 | 34.0 | 16.8 | 45.8 | 30 | 33.7 | 12.2 | 25.0 | 11.4 |
| Env. group | 6.9 | 5.5 | 4.1 | 9.1 | 10.2 | 6.1 | 3.6 | 3.6 |
| 2 | 16.5 | 13.5 | 11.0 | 14.1 | 17.4 | 13.0 | 23.6 | 14.3 |
| 3 | 34.0 | 34.3 | 30.1 | 25.3 | 31.6 | 31.3 | 38.2 | 44.3 |
| 4 | 29.6 | 29.6 | 28.8 | 30.3 | 31.6 | 35.7 | 32.7 | 25.0 |
| 5 | 13.1 | 17.2 | 26.0 | 21.2 | 9.2 | 13.9 | 1.8 | 12.9 |
| Politician | 56.2 | 56.7 | 47.2 | 50 | 60.8 | 59.1 | 53.6 | 58.2 |
| 2 | 30.3 | 29.9 | 41.7 | 26 | 25.8 | 29.6 | 33.9 | 33.3 |
| 3 | 11.7 | 10.2 | 8.3 | 17 | 12.4 | 10.4 | 10.7 | 6.4 |
| 4 | 1.4 | 1.8 | 1.4 | 4 | 1.0 | 0.9 | 1.8 | 1.4 |
| 5 | 0.3 | 1.3 | 1.4 | 3 | 0 | 0 | 0 | 0.7 |
| Journalist | 30.3 | 15.8 | 17.4 | 14.1 | 39.8 | 16.5 | 36.4 | 15.6 |
| 2 | 35.5 | 33.9 | 33.3 | 31.3 | 35.7 | 31.3 | 40.0 | 39.0 |
| 3 | 25.8 | 35.3 | 34.8 | 37.4 | 19.4 | 38.3 | 20.0 | 31.2 |
| 4 | 7.7 | 11.6 | 13.0 | 11.1 | 5.1 | 11.3 | 3.6 | 12.8 |
| 5 | 0.7 | 3.4 | 1.5 | 6.1 | 0 | 2.6 | 0 | 1.4 |
| TV news | 20.1 | 14.7 | 16.4 | 18 | 22.5 | 16.7 | 25.0 | 12.8 |
| 2 | 31.4 | 24.5 | 30.2 | 22 | 34.7 | 28.1 | 26.8 | 23.4 |
| 3 | 30.7 | 40.3 | 30.2 | 38 | 28.6 | 30.7 | 37.5 | 47.5 |
| 4 | 12.0 | 15.5 | 16.4 | 19 | 9.2 | 14.0 | 10.7 | 14.2 |
| 5 | 5.8 | 5 | 6.9 | 3 | 5.1 | 10.5 | 0 | 2.1 |
| Company | 29.1 | 26.5 | 28.6 | 30.6 | 30.5 | 26.3 | 28.6 | 24.8 |
| 2 | 29.1 | 36.8 | 25.7 | 32.7 | 30.5 | 46.5 | 35.7 | 31.9 |
| 3 | 31.9 | 29.1 | 32.9 | 25.5 | 31.6 | 20.2 | 21.4 | 38.3 |
| 4 | 8.4 | 6.1 | 10.0 | 7.1 | 6.3 | 6.1 | 14.3 | 4.3 |
| 5 | 1.4 | 1.6 | 2.9 | 4.1 | 1.1 | 0.9 | 0 | 0.7 |
| Priest | 29.7 | 45.9 | 29.0 | 39 | 32.7 | 57.4 | 27.3 | 24.8 |
| 2 | 17.1 | 26.8 | 15.9 | 27 | 15.3 | 27.0 | 21.8 | 31.9 |
| 3 | 24.8 | 18.4 | 27.5 | 20 | 20.4 | 10.4 | 30.9 | 38.3 |
| 4 | 20.3 | 6.3 | 17.4 | 8 | 27.6 | 4.4 | 10.9 | 4.3 |
| 5 | 8.0 | 2.6 | 10.1 | 6 | 4.1 | 0.9 | 9.1 | 0.7 |
| Books | 9.9 | 8.1 | 9.6 | 12 | 9.2 | 7.8 | 1.8 | 6.4 |
| 2 | 13.7 | 12.1 | 16.4 | 11 | 17.4 | 11.3 | 10.7 | 12.8 |
| 3 | 33.5 | 39.9 | 27.4 | 33 | 33.7 | 42.6 | 44.6 | 44.7 |
| 4 | 31.4 | 27.3 | 27.4 | 29 | 31.6 | 24.4 | 35.7 | 26.2 |
| 5 | 11.6 | 12.6 | 19.2 | 15 | 8.2 | 13.9 | 7.1 | 9.9 |
Nature
There was a list of 12 words that could be used to describe nature, and students were asked to circle up to 6 words which they thought describe nature. There were some significant differences in word preferences as shown in Table 4. Next there was an open question (compare to the comments on images of Nature in Macer, 1994), asking students "Q. If something is described as "natural" what does that make you think about it? I think something natural is... " The comments were categorized into 10 categories and these are shown in Table 5.
There were some differences in the images
expressed between countries. In the word response (Table 4),
only 34% in Japan circled "to be cared for", and there
were more students who circled unpredictable or uncontrollable
and unexplainable compared to New Zealand, which was similar to
Europe except for the lower number who said it was unexplainable.
The results of the open question (Table 5) gave a contrasting
result to the Concerns question seen in Table 1 and 2. We found
40% of Japanese students mentioned living things as an image,
significantly more than the other countries. Japan had less comments
like natural product. There was more variety between countries
on this question than seen in the International Bioethics Survey,
which could be related to the decision to use only one category
per comment, whereas in that survey up to two were used and there
was space for a much longer response.
Table 4: Words which describe nature
| % | |||
| Fragile | 70 | 79 | 71 |
| Strong | 33 | 41 | 35 |
| To be cared for | 87 | 34 | 88 |
| To be used | 20 | 15 | 28 |
| Friendly | 47 | 57 | 55 |
| Hostile | 18 | 11 | 13 |
| Unpredictable | 69 | 71 | 56 |
| Predictable | 8 | 7 | 13 |
| Uncontrollable | 43 | 68 | 44 |
| Controllable | 16 | 8 | 16 |
| Unexplainable | 28 | 49 | 41 |
| Explainable | 20 | 9 | 21 |
Sam and the fatfree gene
One of the basic questions of biotechnology is how far people support enhancement, for example in gene therapy (Macer et al. 1995). The techniques of genetics may be somewhat complicated, so the example of a pill was given, and this question was only given to 14 years and above classes. We should note that this example is being seen with the use of dieting pills. An extract from a newspaper on a fatfree gene that a person Sam takes as a daily dose, so that he can eat as much as he likes without getting fat is given. Sam's grandparents do not approve. Q. If you were Sam's friend what would you think? Maybe you would like to lose weight - would you want to have "fatfree"? The open comments were placed into categories as shown in Table 6.
The students who said Sam
should take the gene were NZ 42%, J 36%, UK 45%, Finland 37%,
Germany 35%, Spain 39%. The most popular advice were: It may
have side effects (NZ 35%, J 43%, Europe 29%), and Natural ways
to lose weight are better (NZ 26%, J 27%, 33%). More students
in NZ said it was unnatural, 15% compared to 1.2% in Japan. In
NZ 14% said it was a good idea compared to 1.5% in Japan, and
11% (NZ) and 8% (J) said it was their choice. Note that the %s
are based on the number of students who answered with a comment
to the question, and 4 students in NZ and 47 in Japan did not
give one.
Astrid the pig with human heart
The prospect of xenotransplants has risen with the development of pigs with humanized hearts by genetic engineering. A report from the New Scientist was given, [Researchers have injected human genetic material into a pig embryo. The idea is that this will make pigs organs compatible with humans so that organs from these pigs can be used for transplant surgery], with a set of four comments people made, "That's disgusting; who would want a pig's heart!", "That's wonderful, it could save people's lives!", "How dare people use animals like that!", "This could be a real money-spinner!". Q. There are about 200 pigs like Astrid. Should this research go on? How can we decide? What do you think? Open question.
A four point scale from 0-3 for human-centred
and for pig-centred comments was used. The results found more
students in Japan did not mention the interests of the pig at
all (NZ 40%, J 62%), whereas more students in NZ gave a comment
not mentioning humans (NZ 39%, J 25%). The
major reasons given were to save
life (NZ 54%, J 40%, UK 52%, F 53%, G 47%, S 60%); Pigs have rights
(NZ 53%, J 29%, UK 52%, F 38%, G 38%, S 47%); and disgust (NZ
5%, J 14%, UK 4%, F 14%, G 4%, S 6%).
Environmental uses for biotechnology
Another question was how students would apply their knowledge to cleaning up pollution, and whether they would follow a technological fix for solution. They were given...Q. Bacteria can clean up our environment! Here are some examples: "No need for chemicals - a natural virus with a scorpion gene kills the bugs on cabbages." "Genetically altered bacteria: clean up oil on beaches. Oil pollution spoils the beach for people and is dangerous to sea birds." "Making a meal of toxic waste!" Think of something that needs cleaning up in your local area or somewhere you have been. Write about it or draw it (explaining what it is). Would there be any way to solve the problem of this pollution without using bacteria to clean it up? Yes/No. What do you think would be the best thing to do about it? It was an open question.
Christchurch is on the sea side, but the
number of students giving the beach (17%) was less than Japan
(31%). River was popular in both countries (Japan 64%, NZ 28%).
The major type was litter (Japan 25%, NZ 50%). The answers to
the Yes/No question were No (NZ 16%, J 44%), but it was somewhat
ambiguous as some student said the opposite reply in their comments
from their selection. 26% used pictures in NZ and 16% in Japan.
The best thing to do comments were open and categorized: 9% in
NZ and 10% in J suggested using biotechnology (Europe 7.5%).
37% in Japan suggested public awareness, 10% in NZ (Europe 24%).
9% in NZ suggested restrictions or fines (which exist in Christchurch)
while 1.3% did in Japan (Europe 10% but 23% in Germany). 26%
in NZ and 29% in J said don't do it was best (21% Europe) but
32% said traditional solution in NZ while 13% said so in Japan
(Europe 25%). The comments suggest most students were not simply
adhering to a technological fix to the problem.
Improving vegetables/fruit
The final question given only to 11-12 year olds (instead of the Sam and fatfree question) was to ask them what their favourite fruit and vegetable was, and then to suggest ways it may be improved, and whether it would be useful. In NZ 56% draw a picture, in Japan 75%. The most popular fruits were watermelon (12% in NZ, 14% in Japan), apples (18% in NZ, 8% in Japan), orange (7% in NZ, 17% in Japan).
The most common reasons for the change
were convenience (NZ 26%, J 28%, Europe 32%), better to eat (NZ
17%, J 45%, Europe 21%), economic (NZ 16%, J 17%, Europe - none
in Britain or Germany, 17% in Spain, 4 children in Finland - overall
10%). Objections were suggested by some (No change: NZ 25%, J
17%, Europe 15% (especially high in Germany)); Dangerous: NZ 3%,
J 2%, Europe 4%). The pictures and open comments will be reported
elsewhere. They were quite imaginative, and followed the symbol
of the Biocult survey, which was a square tomato which had been
made that shape for better packaging.
Conclusion
This survey shows that young people can express diverse comments about biotechnology, science and technology, and often expressed both benefits and risks in response to different questions, although the response to the science and technology question was not as mixed as observed in public questionnaires on specific applications (e.g. Macer 1994). The Biocult survey in Europe has used a division into self-centered, nature-centred and human-centred responses, and this is being done for the Japanese and New Zealand samples.
The survey results also show that caution must be used in extending the results of surveys, for example, Japanese students did not express many concerns about the environment or about animals however they gave many comments about living things in the nature questions. How we interpret these types of answers needs to be examined with more detailed analysis of the comments.
Despite the general disagreement that we could do anything with science and technology, about 40% said that Sam should take fatfree, suggesting a positive image of biotechnological solutions. This figure is higher than the acceptance of gene therapy to enhance physical characteristics in the medical student and public surveys conducted in 1993 (Macer, 1994; Macer et al. 1995). We have to look at the comments in more detail to examine how students think. Also we need to know the influence of teachers upon the attitudes (Macer et al. 1996), which is somewhat unknown in this survey, and a strong teacher could have influenced the students. Inter-school comparisons are also being made.
Table 5: Images of the word natural
in the six countries (%)
| Category | NZ | J | UK | Finland | Germany | Spain |
| Untouched | 41 | 25 | 57 | 17 | 49 | 28 |
| Nature as force | 19 | 19 | 29 | 50 | 40 | 28 |
| Pure | 19 | 4 | 14 | 20 | 5 | 9 |
| Natural product | 38 | 7 | 18 | 20 | 15 | 28 |
| Living things | 9 | 40 | 8* | 7* | 19* | 18* |
| Physical object* | 1 | 19 | - | - | - | - |
| Something to be valued | 2 | 3 | 8 | <1 | 4 | 15 |
| Wonderful | 4 | 2 | 4 | 0 | 3 | 10 |
| For us to use | 3 | 2 | <1 | 11 | 3 | 2 |
| God | 0.3 | 0 | <1 | 0 | 0 | 2 |
*Physical object- was not
coded separately from living things in Europe - so only 12% for
both categories in Europe - significantly different from Japan.
Table 6: Advice that students gave to
Sam about taking the fatfree pill
| % | Category | ||||||
| 1 | unnatural | 14.8 | 1.2 | 10.0 | 1.0 | 18.5 | 1.0 |
| 2 | side effects | 35.0 | 42.7 | 37.5 | 42.6 | 37.0 | 37.7 |
| 3 | body sacred | 2.0 | 0.4 | 2.5 | 0 | 1.9 | 0 |
| 4 | natural better | 26.2 | 27.0 | 26.3 | 28.7 | 27.7 | 28.3 |
| 5 | sterotype | 11.4 | 2.9 | 13.7 | 1.9 | 11.1 | 2.8 |
| 6 | psychological | 5.4 | 0.8 | 5.0 | 0 | 7.4 | 1.0 |
| 7 | reduces will | 5.4 | 5.8 | 3.8 | 7.4 | 7.4 | 0 |
| 8 | ridiculous | 2.0 | 1.2 | 2.5 | 2.8 | 1.9 | 0 |
| 9 | good idea | 14.1 | 1.5 | 13.7 | 13.9 | 11.1 | 17.9 |
| 10 | don't need it | 3.4 | 17.8 | 1.3 | 21.3 | 7.4 | 16.0 |
| 11 | need tests of safety | 9.4 | 11.2 | 6.3 | 8.3 | 14.9 | 13.2 |
| 12 | weight is impt | 2.6 | 1.7 | 2.5 | 1.9 | 0 | 1.0 |
| 13 | save lives | 4.7 | 0.4 | 0 | 0 | 11.1 | 1.0 |
| 14 | Third World | 3.4 | 0.8 | 2.5 | 1.9 | 3.7 | 0 |
| 15 | their choice | 10.7 | 7.9 | 11.3 | 9.3 | 7.4 | 5.7 |
| 16 | natural method vs. gene | 2.6 | 4.1 | 1.3 | 2.8 | 3.7 | 6.6 |
| 17 | Don't know | 0.7 | 9.5 | 1.3 | 5.6 | 0 | 11.3 |
Acknowledgments
We especially thank the teachers who helped, Mr. Brian Baker, Mr. Lyndsay Conner, Mr. Kevin Ford, Ms. Ann Greenaway, Mr. Malcolm Long, Mr. Fraser Smail, and Ms. Mandy Yogi in New Zealand; Mr. Norimitsu Akamatsu, Mr. Kouichi Honda, Mr. Hiroaki Koizumi, Mr. Tomoyasu Kokufuta, Mr. Shunji Miura, Mr. Masafumi Tanaka, Mr. Shouzou Tsukamoto and Mr. Shigenori Yamagata. Schools included: Cashmere High School (68); Cathedral Grammar Primary (26); Lincoln High School (33); Lincoln Primary (56); Linwood High School (43); Papanui High School (32); St Josephs Primary (16); Springston Primary (23); Fujioka Primary (36); Fujioka Junior High School (31); Hyogo High School (38); Kojimachi High School (47); Matsumoto Junior High School (71); Souka High School (108); Takezono Nishi Primary (64).
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