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Record W4232397894 · doi:10.3138/cpp.37.4.479

Do Strikes and Work-to-Rule Campaigns Change Elementary School Assessment Results?

2011· article· en· W4232397894 on OpenAlexaffvenueabout
David R. Johnson

Bibliographic record

VenueCanadian Public Policy · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsDisadvantagedWork (physics)Mathematics educationStudent achievementAcademic achievementPolitical sciencePsychologyEngineeringLaw

Abstract

fetched live from OpenAlex

This paper uses data from the Grade 3 and 6 assessments conducted in Ontario schools to examine the association between student achievement and both strikes and work-to-rule campaigns by teachers. Between 1998/99 and 2003/04 approximately 5 percent of schools in Ontario were exposed to strikes (including one lockout) and over 10 percent of schools experienced a work-to-rule campaign (the withdrawal of many school activities normally carried out by teachers). This study finds large reductions in academic achievement associated with strikes at disadvantaged schools in both Grade 3 and Grade 6, and substantial reductions in results associated with work-to-rule campaigns. The reductions associated with work-to-rule campaigns vary across schools with the largest reductions at disadvantaged schools in Grade 3 and at advantaged schools in Grade 6.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.349
GPT teacher head0.463
Teacher spread0.114 · 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.

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

Citations21
Published2011
Admission routes3
Has abstractyes

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