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Record W2548469526

NOTIONS OF LITERACY IN THE K–12 SCHOOL SYSTEM IN BRITISH COLUMBIA EDUCATION SINCE 2002: A CONTESTED TERRAIN

2016· article· en· W2548469526 on OpenAlexvenueaboutno aff
Jeff Park, Gérald Fallon

Bibliographic record

VenueCanadian Journal of Educational Administration and Policy · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsLiteracyAccountabilityGovernment (linguistics)Sociocultural evolutionSociologyPoliticsEducation policyPedagogyPublic policyPublic administrationPolicy analysisPolitical sciencePublic relationsHigher educationLaw
DOInot available

Abstract

fetched live from OpenAlex

Developing literacy competencies has become a central component of educational policy in British Columbia (BC), with policies calling for province-wide assessment and school accountability. Based on the critical policy analysis (Blaikie & Soussan, 2000) of provincial and school district documents, complemented by semi-structured interviews of senior government officials, district-based administrators, and literacy coordinators, this article discusses how the synergistic effect of the policy discourses of accountability and assessment framed the ways of thinking, conceptually and practically, about literacy mainly in terms of its instrumental value in holding public schools accountable to performance indicators. The article concludes by discussing the necessity of redefining literacy to challenge the view of literacy as a mere set of technical and human skills for economic growth to shift the dialogue toward policy alternatives that view literacy as set of capabilities for sociocultural and political change.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.316
Teacher spread0.305 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2016
Admission routes2
Has abstractyes

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