MétaCan
Menu
Back to cohort
Record W2992992789

The Personal Support Worker Program Standard in Ontario: An Alternative to Self-Regulation?

2015· article· en· W2992992789 on OpenAlexaffabout
Christine Kelly and Ivy Lynn Bourgeault

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsInstitute of Gender and Health
Fundersnot available
KeywordsWorkforceVariety (cybernetics)Work (physics)Public relationsPolitical scienceEconomic growthEngineeringEconomicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Personal support workers (PSWS) provide hands-on assistance in a variety of long-term care and community settings. The question of whether psws should become regulated similar to other self-regulating health professions is a perennial concern in policy circles, especially because of the intimate nature of their work and the potential for abuse of clients and workers. This article explores a chain of policy decisions around psws in ontario culminating in the creation of a common educational standard for psw programs, titled the psw program standard. We argue that these policy developments may represent an alternative pathway to self-regulation of an essential workforce.

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)0.013
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.900
Threshold uncertainty score0.723

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0050.003
Open science0.0030.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.119
GPT teacher head0.371
Teacher spread0.252 · 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 designQualitative
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

Citations22
Published2015
Admission routes2
Has abstractyes

Explore more

Same venuePubMedSame topicHealthcare innovation and challengesFrench-language works237,207