Other-Wise: The Case for Understanding Other Cultures in a Unipolar World.
Notice bibliographique
Résumé
TWENTY-FIVE YEARS AGO, hit upon an exercise have used around the world ever since, but mostly with high school and college students in the United States. have come to call this exercise Forced Migration Game, and this is how it works. Imagine that your government has decided that a certain percentage of your nation's population will have to move to another country permanently. (You might wonder why a government would want to do this. We don't have time to go into all the reasons right now, but take it from me, your government is a benevolent government, and it would not ask to leave if it weren't absolutely necessary.) Now, since your government is benevolent, it would like to make this forced migration as painless as possible, so it has distributed a form asking you to list the three countries where you would MOST like to live. Do that now. And remember, you will live in one of these countries for the rest of your life. Do you have your top three choices? Good. Now your government wants to make sure you've selected these countries for valid reasons, so it has asked you to write, next to each of your three choices, a word or two explaining why you have chosen these countries. Please do that now. The first half of the written exercise, focusing on positive choices, is now completed. (See an example of the form used with the exercise on p. 450.) The second half of the exercise runs as follows: Your forms have been sent to your government's Out-Migration Center and, much to everyone's surprise, there is a problem. It seems this process is much more complicated than anyone expected and it will not be possible to send everyone to his or her country of choice. But your government, being benevolent, certainly does not want to send you to a country you would not like to live in, so it has asked you to list the three countries where you would LEAST like to live for the rest of your life. Do that now, and next to each choice give two or three reasons for making the choice. At this point, ask students to volunteer their responses. Any country that gets a minimum of five to eight votes, depending on the size of the group, gets listed on the board with its vote total. The recorded lists, positive and negative, along with the major reasons for the choices, serve as an overview of the group's responses and the basis for discussion. Countries Most Like Their Own As might be expected, American students most often choose Western industrialized nations for their positive choices--countries most like their own. Over the years, the consistently most popular choices have been Britain and Australia, followed closely by Canada, Switzerland, Italy, and Sweden. One might expect to be the runaway first choice of American students, given its similarity and proximity to the United States, but American students often say they think of more as an extension of the U. S. than as a foreign country. The late Canadian writer Robertson Davies made a similar point when he said, Canada is the attic of North America. The most common reasons students give for their positive choices relate to culture, economics, and geography: lifestyle, strong economy (Australia); English, (Britain); people are culturally similar to me, good economy, beautiful landscape (Switzerland); language, climate, beaches (Australia); I identify with the culture, the values, and have family and friends there and speak the language (Denmark); familiar culture, proximity to family and friends in the U.S. (Canada); studied there and feel comfortable with the (Spain); I have friends there and know the language (Germany); It's beautiful, love Renaissance art, speak some Italian, the Alps (Italy); friendly people, cool summers, open-minded society, English spoken everywhere (Sweden); quiet, peaceful country, high standard of living, similar culture and language (New Zealand). …
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».