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Record W4398142846 · doi:10.7577/pp.5555

Professional Regulation and Change in Times of Crisis: Differing Opportunities Within and Across Ecologies

2024· article· en· W4398142846 on OpenAlex

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProfessions and Professionalism · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsWestern UniversityUniversité TÉLUQUniversité du Québec à Trois-Rivières
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociology

Abstract

fetched live from OpenAlex

This paper analyses the impact of the COVID-19 pandemic crisis on professional regulatory change in two Canadian provinces, drawing on ecological theory. The dataset, constructed using web-scraping techniques, includes all laws and by-law modifications concerning regulated professions enacted during the first 18 months of the pandemic in Quebec and British Columbia. Data show that the crisis prompted regulatory changes but that the impact and nature of these changes varied depending on the structure of the ecology of professional regulation in each province. Furthermore, crisis-related concerns were more likely to induce or accelerate durable changes if they intersected with pre-existing, ongoing professional projects. Our findings have implications for theorizing crisis-related regulatory change and demonstrate the value of a comparative approach to studying professional ecologies and state-profession interfaces.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.553
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.087
GPT teacher head0.323
Teacher spread0.236 · 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