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Record W2769074550

Implementation of the Alberta Accountability Framework

2000· article· en· W2769074550 on OpenAlexvenueaboutno aff
John Burger, Merla Bolender, Valerie Keates, David Toownsend

Bibliographic record

VenueCanadian Journal of Educational Administration and Policy · 2000
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityLegislationGovernment (linguistics)JurisdictionPublic administrationPublic relationsPolitical scienceChristian ministry
DOInot available

Abstract

fetched live from OpenAlex

In 1994 the government of Alberta introduced legislation that mandated accountability for all government departments, including education.  At the same time, the provincial budget cut dollars to education by 12.4%.  The message to educators was clear: reduce education costs while retaining and improving education results.  The impact of these directives was dramatic.  The Alberta ministry of education closed regional offices and reduced staff.  School boards, through amalgamations, were reduced in number from 140 to sixty. One intent of the accountability legislation was to align classroom, school and jurisdiction goals with provincial education goals and priorities.  The alignment was monitored through Three-Year Plans and Annual Education Results Reports that were submitted to the ministry by school jurisdictions.  At the same time, decision-making was decentralized to the school level and site-based administrators were given the responsibility of developing school plans that reflected jurisdictional and provincial education goals.  This paper summarizes the development of the provincial accountability framework and reports an action research project that investigated the implementation of this framework from a field perspective. The paper is a synthesis of four papers by different authors.  The four papers have been merged to present a more comprehensive story of the development and implementation of the Alberta accountability framework.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.997

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)0.0330.000

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 head0.092
GPT teacher head0.512
Teacher spread0.421 · 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.

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
Published2000
Admission routes2
Has abstractyes

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