MétaCan
Menu
Back to cohort
Record W1998019441 · doi:10.1177/003172170208400315

Another Nation at Risk?

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

Bibliographic record

VenuePhi Delta Kappan · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsGermanHeadlineFellReading (process)NewspaperPsychologyMedia studiesPolitical scienceSociologyHistoryLawAdvertisingGeographyCartography

Abstract

fetched live from 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. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0040.005
Open science0.0000.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0870.023

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.303
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2002
Admission routes1
Has abstractyes

Explore more

Same venuePhi Delta KappanSame topicGlobal Educational Policies and ReformsFrench-language works237,207