Notice bibliographique
Résumé
THE LONG MARCH The True History of Communist China's Founding Myth Sun Shuyun New York: Doubleday, 2006. 270pp, $34.00 cloth (ISBN 9781400134526)Getting facts straight on long march of Chinese communist forces retreating from southeast China (Jiangxi) ultimately to northwest China (Shaanxi) in 1934-35 is no easy matter. It is, as Sun Shuyun confirms in this readable account, national myth of People's Republic of China. Since march was made known to Westerners by Edgar Snow in his Red Star Over China (1937 in London; 1938 in New York), it has been presented as myth of sacrifice and redemption that vindicated Chinese Communist party and its then-emerging leader, Mao Zedong, as rightful rulers of China. These themes were amplified by party propaganda system and taught - in fashion of similar national myths in other countries - to generations of Chinese ever since, including to Sun, who learned this during last decade of Mao's rule (she was born in 1960s to a military family in China).Sun is clear from start: she wants to challenge that myth. For her, digging beyond patriotic paeans to long march involves asking: Was communism magnet that drew poor in droves to Red Army? How did it all work in detail? And what happened to four-fifths of approximately 100,000 marchers who never reached end (3)? Her answers are vivid: some people did believe, but many did not and joined by force of circumstance or at point of a rifle under forced conscription. Leaders, particularly Mao, made numerous mistakes and were often unfeeling of suffering of rank and file. The heroism of long march was mostly heroism of ordinary people, not Mao, other leaders, or idealized Red Army commanders from films Sun saw in China as a kid. Mostly, Sun's story emphasizes experience, memory, and voices of ordinary Chinese, many long forgotten and ill-served by army and party they either joined or endured. In end, Sun finds heroism, but it is not heroism of Mao and party, but heroism of these ordinary people. Their example now inspires Sun and her mission is to get their side of story out. The reason this is important, Sun says, is that dark side of long march that emerges helps to explain what went wrong later under Mao. The errors of later years and causes of sufferings of survivors she profiles can be seen in Jiangxi before long march (246). The implication is clear: it was rotten from start.Sun presents stories ofthe ordinary long marchers - and their lives since then - in style of a documentary film. This is no coincidence, as Sun is a filmmaker and television producer in England. Her scenes and images are vivid, and conversations taken from some 40 interviews are moving. She opens and closes with a few individuals, particularly tragic case of woman Wang (Wang Quanyuan), who after years of mistreatment still has faith in party. These are moving stories, well presented, based on extensive interviews, and all by a Chinese who grew up under Mao but now writes with freedom of one living in England. What's not to like?We should doubt a book that has the true history as part of its title. …
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,002 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,005 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,053 | 0,018 |
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 source (Gemma direct ou Codex distillé), 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 ».