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Record W7054888250

Bringing Care Governance to Ontario's Retirement Homes Sector

2019· article· en· W7054888250 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationAutonomyGovernment (linguistics)Corporate governanceCARE ActPublic policy
DOInot available

Abstract

fetched live from OpenAlex

In 2010, the Ontario government introduced Bill 21, the Retirement Homes Act, 2010 (the Act), which required the licensing of retirement homes (RHs), residents' rights, care and safety standards, inspections, compliance and a newly formed Retirement Homes Regulatory Authority (Authority). The Act and its regulations drew heavily from the content of legislation pertaining to long-term care homes (LTC homes), recognizing that many RHs provided high acuity care. However, the Authority was constituted with a multi-sectoral board, which was arm's length from government. The stated goal of the Act was to ensure the dignity, respect, safety and privacy of residents, though the government also recognized the importance of preserving autonomy and choice for the predominantly private, for-profit operators and their residents. A consultation process spurred considerable debate over the content of the proposed legislation as well as the authority that would oversee it. The unwillingness of the government to fund care services in RHs (unlike LTC homes) influenced its policy decision to pass the Act in a form that gave greater autonomy to the industry to oversee its regulation through a multi-sectoral Authority, rather than one directed by government. A formal five-year review showed the reform to be well received by the public and key stakeholders, and an Effectiveness Survey for Stakeholders conducted by a third party indicated positive results, pointing to the success of both regulatory content and oversight. Le gouvernement de l'Ontario a introduit en 2010 le Projet de loi 21, Loi de 2010 sur les Maisons de Retraite (la Loi), qui imposait l'accréditation des Maisons de Retraite (MR), des droits des résidents, des normes de soins et de sécurité, des inspections, une norme de conformité et la création de l'Office de réglementation des maisons de retraite (l'Office). La loi et ses réglements se sont fortement inspirés du contenu de la législation des foyers de soins de longue durée, de nombreuses MR fournissant des soins intensifs. Cependant, l'Office est doté d'un conseil d'administration multi-sectoriel, autonome par rapport au gouvernement. L'objectif déclaré de la Loi était de garantir la dignité, le respect, la sécurité et l?intimité, même si le gouvernement affirmait aussi l'importance de maintenir l'autonomie et le choix des opérateurs, principalement privés et à but lucratif, ainsi que de leurs résidents. Un processus de consultation a lancé un débat nourri sur le contenu de la législation proposée ainsi que sur l'office chargé de la gouverner. La réticence du gouvernement à financer les soins dans les MR (comme il le fait pour les foyers de soins de longue durée) a motivé la décision politique d'écrire une Loi donnant une plus grande autonomie à l'industrie pour mettre en oeuvre sa propre régulation à travers un Office multi-sectoriel, et non piloté par le gouvernement. Une évaluation formelle à cinq ans a montré que la réforme avait été bien reçue par le public et les principales parties prenantes, et une enquête d'efficacité auprès des parties prenantes, conduite par un tiers de confiance, suggère des résultats positifs, tant sur le fond que sur la gouvernance.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.159
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.007
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.101
GPT teacher head0.492
Teacher spread0.391 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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