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Record W2246384248

The Next Generation of Basic Education Accountability in Alberta, Canada: A Policy Dialogue, 5(19)

2001· article· en· W2246384248 on OpenAlexaboutno aff
John Burger, Art Aitken, Jim Brandon, Pat Klinck, Garry McKinnon, Sylvia Mutch

Bibliographic record

VenueIEJLL: International Electronic Journal for Leadership in Learning · 2001
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityGovernment (linguistics)Public relationsPublic administrationPolitical scienceStatutory lawExtant taxonAction (physics)Process (computing)LawComputer science
DOInot available

Abstract

fetched live from OpenAlex

The action research reported here considers extant issues regarding the design and implementation of the accountability model for basic education in Alberta, Canada. The paper reports a dialogue between accountability policy implementers and policy makers and considers how accountability processes can evolve into a more collaborative process. While accountability has long been a focus in schools, statutory requirements contained in the Alberta Government Accountability Act have altered perceptions and practice. Accountability would be most effective if the field and government purposes for component of practice. Similarly, a more dialectic approach to accountability would be facilitated by redesigned approaches to program evaluation and data analysis premised on richer, shared data that held meaning for practitioners as well as policy makers. The model of accountability illuminated in this paper, because it is more professional, comprehensive and transparent, points to the benefits that are achievable when those educators who are accountable feel personal and professional ownership for the accountability model mandated by the state.accountability were congruent and an inherent

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)0.008
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.360
GPT teacher head0.469
Teacher spread0.109 · 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

Citations5
Published2001
Admission routes1
Has abstractyes

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