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Record W2137088305

The Impact of Centralization on Local School District Governance in Canada.

2013· article· en· W2137088305 on OpenAlexvenueaboutno aff
Gerald Galway, Bruce Sheppard, John R. Wiens, Jean Brown

Bibliographic record

VenueCanadian Journal of Educational Administration and Policy · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceIdeologyPoliticsPublic administrationSchool districtPolitical scienceAccountabilityEconomic growthSociologyEconomicsPedagogyManagementLaw
DOInot available

Abstract

fetched live from OpenAlex

Across Canada there have been numerous recent examples of incidents where the political and ideological interests of provincial governments have run counter to the mandates of school districts. In this pan-Canadian study, focus groups were conducted with school board trustees and school district superintendents to examine the relationships between districts and provincial governments. Preliminary data suggest that the significance of the school district apparatus in Canada has diminished as provincial governments have enacted an aggressive centralization agenda. We theorize that in a politicized environment, the values, reward systems, and accountabilities against which school board superintendents and trustees operate are likely to differ substantively from those of politicians and bureaucrats, thereby creating a policy environment that is antagonistic to local governance.

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)0.006
metaresearch head score (Gemma)0.016
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: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.929

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0140.009
Scholarly communication0.0070.001
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.050
GPT teacher head0.430
Teacher spread0.379 · 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

Citations22
Published2013
Admission routes2
Has abstractyes

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