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Enregistrement W2740136669 · doi:10.1353/jas.2017.0011

Confucius Murders Squirrels

2017· article· en· W2740136669 sur OpenAlexaboutno aff
Perry Link

Notice bibliographique

RevueHarvard Journal of Asiatic Studies · 2017
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueChinese history and philosophy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEmperorWhite (mutation)MemorizationHistoryAestheticsSociologyLiteratureClassicsPsychologyPhilosophyArtAncient historyLinguistics

Résumé

récupéré en direct d'OpenAlex

Confucius Murders Squirrels Perry Link Confucius Institutes: Academic Malware by Marshall Sahlins. Chicago: Prickly Paradigm Press, 2015. Pp. 65. $12.95 paper. Cognitive scientists disagree about the extent to which it is true, as Edward Sapir and Benjamin Whorf famously argued nearly eighty years ago, that one’s language determines one’s thought. But wherever the truth may lie, it is fairly clear that for centuries Chinese culture assumed that the determination does hold. If China has differed from Sapir and Whorf, it has only been to put greater emphasis on written language in particular. As explained in The Great Learning (Daxue 大學) and as long assumed in literate society (and as tested on the civil service exams), internalization of written classics brings inner cultivation that can set one on track to deliver morally appropriate service to the family and then to higher levels of society all the way, for the most brilliant, to the emperor. When Mao Zedong asked young people to memorize his written words in order to induce correct thought and behavior in them, he was being more traditional than he would have wanted to admit. When rebels—such as the White Lotus or the Taiping in recent centuries, or the Falun Gong today—have challenged the ruling authority, they have relied on their own tianshu 天書 (heavenly documents) to define and anchor right ways of thinking. Heavenly documents and the thinking that they generated created strong expectations about identity and loyalty. A person belonged to the group that shared a tianshu. It should be no surprise, therefore, that during the twentieth century Chinese Nationalists and Chinese Communists squabbled over [End Page 163] language. Political identity, not just communication, was at stake. In the wake of May Fourth, when Chinese intellectuals began debating how to transcribe Mandarin Chinese in roman letters, the Communists and Nationalists each put forward proposals for how to do it and pressed their proposals with a zeal that was fraught with politics. At mid-century, when the Communists introduced their new system of simplified Chinese characters, it is no accident that they called them “standard” characters, while the Nationalists, now banished to Taiwan, continued to view the traditional characters as standard. It was important who was standard. Today, overseas Chinese communities in the US, Canada, Australia, and elsewhere organize schools, usually on weekends, to teach Chinese to their children. Often there are parallel schools—one that teaches Beijing Chinese using Hanyu pinyin and simplified characters and the other that teaches Taipei Chinese using ㄅㄆㄇㄈ (bopomofo) and traditional characters. When there is only one school for all children, parents sometimes get red-faced with passion as they argue over which kinds of writing to use. (The children, as a rule, don’t care much.) In 2004, the Chinese government launched a major effort to teach Chinese language worldwide. Second-generation overseas Chinese were not their main target, however; the main goal was to reach the growing number of non-Chinese who, as they witnessed the “rise of China,” wanted to learn the language. Chinese officials estimated in 2004 that before long there might be one hundred million such would-be learners. They announced a program of “Confucius Institutes”—or, on a smaller scale, “Confucius Classrooms.” Run from an office in Beijing known as Guojia Hanban 国家汉办 (state management of Chinese), Confucius Institutes and Classrooms provide foreign universities and high schools, and occasionally primary schools, with teachers, teaching materials, and budgets (normally US$100,000 up front) to teach Chinese language and culture in the Hanban-approved way. In the world today there are more than a thousand such programs, nearly half in North America. In 2009, which is the last year for which I could find data, the worldwide Hanban budget was 1.23 billion yuan (about US$189,000,000). Government officials referred to the program as an investment in “soft power.” Marshall Sahlins, a distinguished anthropologist and chair professor emeritus at the University of Chicago, in his deft little book Confucius Institutes: Academic Malware, points out deception in the way [End Page 164] the Institutes are presented to foreign recipients. School officials are told that China’s Ministry of Education is the sponsor and funder, but...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,558
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,114
Tête enseignante GPT0,400
Écart entre enseignants0,286 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2017
Routes d'admission1
Résumé présentoui

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