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Enregistrement W1998019441 · doi:10.1177/003172170208400315

Another Nation at Risk?

2002· article· en· W1998019441 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevuePhi Delta Kappan · 2002
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGlobal Educational Policies and Reforms
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGermanHeadlineFellReading (process)NewspaperPsychologyMedia studiesPolitical scienceSociologyHistoryLawAdvertisingGeographyCartography

Résumé

récupéré en direct d'OpenAlex

ON 4 December 2001 Germany took massive blow to its national ego. PISA, the Program of International Student Assessment that was cobbled together by the Paris-based Organisation for Economic Co-operation and Development, delivered the haymaker. OECD tested 15-year-olds in 32 nations -- 28 OECD countries and four others (Brazil, Latvia, Liechtenstein, and the Russian Federation). American students were average in all three areas tested -- reading, math, and science. Our media yawned. But to the German press, it was catastrophe. German students ranked 21st in reading, 20th in math, and 20th in science. (American ranks were 15th, 19th, and 14th respectively). On some subtests, German students ranked as low as 25th. The actual scores of German students did not fall that far below those of U.S. students -- 10 points in reading, three in math, and 12 in science on 600-point scale (recall that ranks and scores are different). However, German scores fell significantly below the OECD average on all three measures, while the U.S. did not significantly differ from that average on any measure. Dummkopf! trumpeted the headline in The Economist. Debacle, declared the Suddeutsche Zeitung in Munich. Are German Students Stupid? asked the cover of the weekly Der Spiegel. Fix Our Schools, demanded the Frankfurter Allgemeine Zeitung. The German media spewed more than 700 pages of print, hurling accusations and trying to figure out what had happened. (This information and most of the other commentary from the foreign press that I'm reporting here comes from Jason Tarsch, an economist for the British Department for Education and Skills, who spent fair amount of his spare time circulating PISA- related articles and translating those in German and French.) Americans might be forgiven if they experienced little shiver of schadenfreude at Germany's angst, along with strong sense of deja vu. It looked like Germany might be a nation at risk. Actually, it was worse for Germany. Nation at Risk was published here in 1983, capping 30 years of criticism. Until PISA, Germans thought they were the best. Although they had lots of information to the contrary from How in the World Do Students Read? and from the Third International Mathematics and Science Study, these outcomes had apparently been glossed over. Not so with PISA. Now you have it, said OECD PISA director Andreas Schleicher. the land of poets and philosophers, is struck down. Various German officials called the results disastrous, a scandal, and totally unacceptable. Analysts pointed to Germany's short school day, to weak early education, and, especially, to Germany's system of tracking students from age 10. Many analysts believed that tracking contributed to the vast difference in performance by students from different socioeconomic strata. Although performance was associated with wealth in all nations, the relationship was strongest in Germany. Commentators claimed that grouping by performance at age 10 inevitably tracked students by social class as well and ensured the huge gaps seen at age 15. Analysts also held tracking responsible for the gap between high and low readers in Germany, the largest in the study. The the ratio of the best (top 10%) readers' scores to the worst (bottom 10%) readers' scores, was largest for Germany, almost 1.8. The U.S. registered the third-worst Inequality Index, meaning that our best readers were far superior to our worst. Finland, Japan, and Canada had the smallest Inequality Indices. In some areas, low scores clustered among students from other nations. Foreign students make up as much as 75% of the student body in some urban schools. No one seemed to take into account the language capabilities of these students. Said one teacher, A German-speaking teacher cannot do much in the way of leading when children talk to one another in Turkish or Arabic. …

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.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,448
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,044
Tête enseignante GPT0,303
Écart entre enseignants0,259 · 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