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Record W3133506987 · doi:10.1177/1056787921998342

Neoliberal Influences: The Aftermath of Educational Reform- A Reflective Analysis

2021· article· en· W3133506987 on OpenAlexaffabout
Janice Tucker, Marian Fushell

Bibliographic record

VenueInternational Journal of Educational Reform · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRestructuringNeoliberalism (international relations)Corporate governancePolicy analysisPolitical sciencePublic administrationEducation policyEducation reformQualitative researchPolicy learningEconomic growthSociologyPedagogyHigher educationPolitical economyPrimary educationSocial scienceEconomics

Abstract

fetched live from OpenAlex

Neoliberal discourse dominated education policy for decades and fueled reform movements with lasting effects. Through a critical lens this qualitative case study explored policy direction, the influences that shaped multiple years of reform initiatives and the impact of these changes in one Canadian province. Data sources including policy documents, surveys, and interviews, revealed that with each restructuring there was a loss of professional expertise and local governance affecting working conditions, communication, and relationships. Consequently, there was a decline in support for student learning, teachers, and schools. This historical overview informs policymakers challenged with shaping future policy direction in education.

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)0.013
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score0.882

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.019
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0250.035
Scholarly communication0.0170.007
Open science0.0030.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.068
GPT teacher head0.439
Teacher spread0.371 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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
Published2021
Admission routes2
Has abstractyes

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