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Record W2118408256 · doi:10.14507/epaa.v19n26.2011

Locating Leadership: The Blind Spot in Alberta’s Technology Policy Discourse

2011· article· en· W2118408256 on OpenAlexaboutno aff
Charmaine Brooks

Bibliographic record

VenueEducation Policy Analysis Archives · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsValue (mathematics)Technology policyTechnology educationDiscourse analysisSociologyPolitical sciencePolicy analysisPublic administrationPublic relationsPedagogySocial science

Abstract

fetched live from OpenAlex

Over the last 20 years, technology and education policy discourse in Alberta, Canada has been philosophically polarized and dominated by value-neutral ways of thinking about technology (Brooks, 2011). While technology policy implementation has significant ramifications for schools and systems, for much of this time, system leaders, specifically the College of Alberta School Superintendents, (CASS), did not engage the discursive circle. This paper identifies a probable rationale for the historic lack of engagement in technology and education policy by CASS. Concluding discussion offers reasons for and early impacts of CASS’ first formal move into provincial technology policy discourse System Leadership for Learning Technology Success.

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)0.010
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.917

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0510.046
Scholarly communication0.0230.004
Open science0.0030.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.191
GPT teacher head0.436
Teacher spread0.244 · 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.

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

Citations17
Published2011
Admission routes1
Has abstractyes

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