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Record W2081839377 · doi:10.7202/030937ar

Education, Inspection and State Formation: A Preliminary Statement

2006· article· en· W2081839377 on OpenAlexvenueno aff
Philip Corrigan, Bruce Curtis

Bibliographic record

VenueHistorical Papers · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Education Studies Worldwide
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)Dominance (genetics)State (computer science)NeglectContext (archaeology)Government (linguistics)Statement (logic)Public educationFunction (biology)Positive economicsPublic policyPolitical scienceSociologyPublic relationsPublic administrationEconomicsPsychologyLawHistory

Abstract

fetched live from OpenAlex

This paper attempts to draw the attention of sociologists and historians of education to the matter of the form of public schooling. A review of competing models of educational development current in the literature shows that neither pays attention to public schooling as a form of state provided and regulated schooling. Current models thus neglect the implication of schooling in the organization of patterns of government. The article argues that public schooling came to be normalized as what education really was (or should be). To pursue this argument it investigates the inspective function as one of the key processes whereby public schooling was administered into dominance. While the discussion centres on North American experience, English material is also discussed in an effort to locate the construction of the educational state in its broader context.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0020.007
Scholarly communication0.0050.010
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0200.001

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 head0.010
GPT teacher head0.272
Teacher spread0.262 · 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 designQualitative
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
Published2006
Admission routes1
Has abstractyes

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