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Record W1567159340 · doi:10.1108/qae-09-2014-0046

Self-regulation with rules

2015· article· en· W1567159340 on OpenAlex
Daniel W. Lang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueQuality Assurance in Education · 2015
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsQuality (philosophy)BenchmarkingPoolingJurisdictionAccountabilityComputer scienceAccreditationQuality assuranceScope (computer science)StandardizationWork (physics)AutonomyProcess managementBusinessMarketingPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to discuss how the province over time has addressed problems that are generic to many jurisdictions in assuring quality: level of aggregation, pooling, definition of new and continuing programs, scope of jurisdiction, role of governors, performance indicators, relationship to accreditation, programs versus credentials, benchmarking and isomorphism. The paper will pay particular attention to the balance between institutional autonomy in promoting quality and innovation in contrast to system-wide standards for assuring quality. The Province of Ontario has had some form of quality assurance since 1969. For most of the period since then, there were separate forms for undergraduate and graduate programs. Eligibility for public funding is based on the assurance of quality by a buffer body. In 2010, after two years of work, a province-wide task force devised a new framework. Design/methodology/approach – The structure of the paper is a series of “problem/solution” discussions, for example, aggregation, pooling, isomorphism and jurisdiction. Findings – Some problems are generic, for example, how to define a “new” program. Assuring quality and enhancing quality are fundamentally different in terms of process. Research limitations/implications – Although many of the problems discussed are generic, the paper is based on the experience of one jurisdiction. Practical implications – The article will be useful in post-secondary systems seeking to balance autonomy and innovation with central accountability and standardization. It is particularly applicable to undifferentiated systems. Social implications – Implications for public policy are mainly about locating the most effective center of gravity between assuring quality and enhancing quality, and between promoting quality and ensuring accountability. Originality/value – The approach of the discussion and analysis is novel, and the results portable.

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.

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)0.007
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 score0.110
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.253
GPT teacher head0.538
Teacher spread0.285 · 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