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Enregistrement W1998019441 · doi:10.1177/003172170208400315

Another Nation at Risk?

2002· article· en· W1998019441 sur OpenAlexaboutno aff
Gerald W. Bracey

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,087
Score d'incertitude au seuil0,291

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,001
Communication savante0,0040,005
Science ouverte0,0000,004
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0870,023

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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2002
Routes d'admission1
Résumé présentoui

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