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Record W1882622474 · doi:10.14507/epaa.v23.1905

Research and evidence in education decision-making: A comparison of results from two pan-Canadian studies

2015· article· en· W1882622474 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEducation Policy Analysis Archives · 2015
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPoliticsResearch policyRanking (information retrieval)SituatedEducation policyChristian ministryExperiential learningPolitical scienceSociologyProfessional developmentPublic relationsPsychologyPublic administrationHigher educationPedagogy

Abstract

fetched live from OpenAlex

In this paper we compare the use of research and other evidence in the policy formation practices of two groups of education policy elites, situated in different contexts – provincial education ministries and school districts. Data are derived from two pan-Canadian studies: Galway (2006) and Sheppard, Galway, Brown & Wiens (2013). The findings show that policy decisions at the ministry level are informed primarily by political and pragmatic factors, personal and professional beliefs and staff advice. The role of external research is shown to be relatively marginal and confined to quantitative studies and performance assessments. Decision makers at the school district level are less attendant to political and pragmatic influences relying more on personal beliefs, values and experiential factors supplemented by the advice of professional staff and in-house research/indicators. Results from both studies demonstrate limited reliance on external data and university-based research – the latter ranking 15th of 20 influencing factors. Consistent with Beck’s (1994; 1997) risk theory, we theorize that education policy making in both contexts is influenced by both macro- and micro-level factors, where choice of policy evidence is mediated by personal considerations and political risk factors. This suggests a weak policy development paradigm that is, to a large extent, resistant to independent research-informed evidence.

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.

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)0.007
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.006
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.594
GPT teacher head0.671
Teacher spread0.077 · 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