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The Rise and Limits of Education Policy. Gendered Education

2018· article· en· W2902028335 on OpenAlexvenueno aff
Ansgar Weymann

Bibliographic record

VenueEncounters in Theory and History of Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimacyHuman capitalEducation policyEconomic growthState (computer science)Education economicsPoliticsEconomicsHigher educationDevelopment economicsSociologyPolitical sciencePolitical economyLaw

Abstract

fetched live from OpenAlex

Education policy is a core element of the modern state’s sovereignty and autonomy. Education serves the state as a means of integrating society through culture and ideology, furthermore as a key tool for improving political power and legitimacy, and finally fuelling and stimulating economic growth via human capital investment. Eighteenth century state-building brought the expansion and improvement of educational institutions, and the nineteenth century the development of the fully-fledged education-state. In the twentieth “human capital” century, education policy reached its pinnacle, characterized by unprecedented growth in terms of educational attainment, investments and returns. However, in the last decades, weaknesses of education policy have become visible: the declining growth of human capital returns, problems of reducing social inequality as well as deficient cultural and social integration. Throughout centuries the schooling of girls followed the schooling of boys with delay. Yet, today girl's gross tertiary school enrolment is globally ahead of boys. Indeed, progress of education is a process of longue durée.

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)0.001
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 score0.403
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.307
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations5
Published2018
Admission routes1
Has abstractyes

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