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Record W4225093793 · doi:10.1177/14782103211069002

PISA, global reference societies, and policy borrowing: The promises and pitfalls of ‘academic resilience’

2022· article· en· W4225093793 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePolicy Futures in Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDisadvantagedPsychological resilienceAcademic achievementResilience (materials science)International comparisonsReading (process)Political scienceSociologyEconomic growthDevelopment economicsMathematics educationPsychologyPedagogySocial psychologyEconomicsLaw

Abstract

fetched live from OpenAlex

The Programme in International Student Assessment (PISA) has become the prominent method of international comparison of the achievement of 15-year-old children in reading, mathematics, and science. Recently, the OECD, which administers PISA, has devoted a great deal of energy promoting the notion of “academic resilience”—which refers to the capacity of individuals to prosper despite encountering adverse circumstances. Countries are compared and contrasted in relation to the relative share of disadvantaged students that are able to achieve at higher achievement levels on PISA, with associations drawn from school-level factors and resulting implications drawn for policy reform. This paper offers a number of cautions with the growing influence of cross-national comparisons of academic resilience. Our discussion underscores how the OECD’s notion of “academic resilience,” which has come to dominate transnational policy debates, is quite narrow and limited by the measures it uses to assess student competencies.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.376
Teacher spread0.361 · 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