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Record W2033420046 · doi:10.1029/2007eo500003

High‐school‐age science assessments

2007· article· en· W2033420046 on OpenAlexaboutno aff
Randy Showstack

Bibliographic record

VenueEos · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicEducational Assessment and Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsChinaGeographyScale (ratio)PsychologyInternational comparisonsDemographyMedical educationPolitical scienceEconomic growthMedicineSociologyEconomicsCartography

Abstract

fetched live from OpenAlex

Students in Finland had the highest science scores in a 57‐country survey of 15‐year‐olds. According to a 4 December report issued by the Organisation for Economic Co‐operation and Development (OECD), other high‐scoring countries included Canada, Japan, New Zealand, Hong Kong‐ China, Chinese Taipei, and Estonia. More than 400,000 students from 57 countries participated in the Programme for International Student Assessment (PISA), a triennial survey of the knowledge and skills of 15‐year‐olds. The study found that on average across OECD countries, 1.3% of 15‐year‐olds reached level 6, the highest proficiency level on the science scale. These students could consistently identify, explain, and apply scientific knowledge in many situations. The number of students at that level could not be reliably predicted from a country's overall performance. For instance, while Korea had an overall high score of 522 points (above the average 500) and the United States had a score of 489, both countries had similar percentages of students at level 6. For more information, visit the Website: http://www.oecd.org.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.138
GPT teacher head0.509
Teacher spread0.371 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2007
Admission routes1
Has abstractyes

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