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Record W2930966647 · doi:10.13162/hro-ors.v7i1.3686

Bringing Care Governance to Ontario's Retirement Homes Sector

2019· article· fr· W2930966647 on OpenAlexaffvenueabout
Blair Roblin, Raisa Deber, Kerry Kuluski, Michelle Pannor Silver

Bibliographic record

VenueHealth Reform Observer - Observatoire des Réformes de Santé · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of Toronto
Fundersnot available
KeywordsCorporate governanceBusinessAging in placeGerontologyPolitical scienceMedicineFinance

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.

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 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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.038
GPT teacher head0.314
Teacher spread0.276 · 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; both teacher heads agree on what is shown here.

Study designObservational
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 routes3
Has abstractyes

Explore more

Same venueHealth Reform Observer - Observatoire des Réformes de SantéSame topicElder Abuse and NeglectFrench-language works237,207