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Record W3124119949

Competition for private and state school teachers

2008· preprint· en· W3124119949 on OpenAlexaboutno aff
Francis Green, Stephen Machin, Richard Murphy, Yu Zhu

Bibliographic record

VenueLondon School of Economics and Political Science Research Online (London School of Economics and Political Science) · 2008
Typepreprint
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsnot available
FundersNuffield Foundation
KeywordsCompetition (biology)Economic shortageQuarter (Canadian coin)Private sectorPrivate educationQuality (philosophy)State (computer science)Labour economicsEconomicsDemographic economicsBusinessPolitical scienceHigher educationEconomic growthGovernment (linguistics)Geography
DOInot available

Abstract

fetched live from OpenAlex

We analyse the role of private schools in the teachers' labour market. Private schools employ an increasingly-disproportionate share of teachers in Britain, relative to the number of their pupils. Their teachers are more likely than state school teachers to possess post-graduate qualifications, and to be specialists in shortage subjects. Recruitment from the state sector is an important and growing source of new teaching staff for private schools, and a small though increasing deduction from the supply of new teachers available to state schools. Private school teachers enjoy greater job satisfaction, work with fewer pupils, enjoy longer holidays and, in the case of women, shorter weekly hours. Among women, pay is lower in the private sector, which we interpret as a compensating differential. For men, there is no significant inter-sectoral difference in pay. However, for both men and women there is evidence of a substantial pay premium for private-school teachers trained in shortage subjects.

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)0.014
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.022
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0010.002
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 head0.078
GPT teacher head0.399
Teacher spread0.321 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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