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Record W4200552238 · doi:10.1017/9781108779364.011

The Medical Regulator as Law Reformer

2021· book-chapter· en· W4200552238 on OpenAlexaboutno aff
Mona Gupta

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatorRegulatorPolitical scienceLawMedical lawLegislationStakeholderPublic administrationMedical practiceMedical careMedicineNursingFamily medicine

Abstract

fetched live from OpenAlex

An Act Respecting End of Life Care came into force in the province of Québec, Canada on 10 December 2015. This new law aimed to ensure that all adults with decisional capacity in Québec had access to the full range of health care options at the end of their lives including for the first time, medical assistance in dying (euthanasia). This chapter describes how the province’s medical regulator, the Collège des Médecins du Québec (CMQ), laid the groundwork for the passage of this law. Although not necessarily setting out to play a role in law reform as such, the CMQ’s proposal to frame assisted dying as a therapeutic act enabled the legislator to introduce a bill which already had the support of the medical profession as well as a regulatory structure in place to guide practice. This allowed the regulator to be more than a stakeholder in a process of law reform but a driver of reform itself.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score0.862

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0110.016
Scholarly communication0.0120.006
Open science0.0020.002
Research integrity0.0140.011
Insufficient payload (model declined to judge)0.0120.004

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 head0.260
GPT teacher head0.438
Teacher spread0.178 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2021
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicPharmaceutical industry and healthcareFrench-language works237,207