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Record W3108218546 · doi:10.3138/cjwl.32.2.05

Call the Midwife: Privatization and Health Care Reform in an Era of Constrained Public Spending

2020· article· fr· W3108218546 on OpenAlexaboutno aff
Cynthia Spring

Bibliographic record

VenueCanadian Journal of Women and the Law/Revue Femmes et Droit · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

En 2018, le Tribunal des droits de la personne de l’Ontario a conclu que le gouvernement provincial avait agi de façon discriminatoire à l’endroit des sages-femmes en omettant de prévenir et de corriger l’iniquité du système de rémunération et de financement. La décision Association of Ontario Midwives c Ontario (Health and Long-Term Care) offre une nouvelle perspective sur le fonctionnement genré de la règlementation et de la privatisation du réseau de santé de l’Ontario. Le présent article analyse ainsi deux formes perceptibles de privatisation, justifiées par le gouvernement comme des mesures nécessaires pour limiter les dépenses publiques tout en répondant aux besoins en termes de soins de santé adéquats et de qualité, qui contribuent ensemble à augmenter l’ampleur des tâches non rémunérées exécutées par des praticiennes de la santé relativement sous-payées. En contextualisant la règlementation de la profession de sage-femme et l’exploitation concomitante au processus continu de réforme des soins de santé, l’autrice soutient qu’à la lumière des résultats négatifs de la privatisation partielle des services publics de soins intrapartum et de santé maternelle, il est socialement insoutenable de subordonner ces aspects vitaux de la reproduction sociale à des préoccupations de nature fiscale.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.414

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.064
GPT teacher head0.300
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

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 designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Women and the Law/Revue Femmes et DroitSame topicSocial Sciences and GovernanceFrench-language works237,207