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Record W2887415178 · doi:10.12927/hcpol.2018.25550

Community-Based Reform Efforts: The Case of the Aging at Home Strategy

2018· article· en· W2887415178 on OpenAlexaffvenueabout
Allie Peckham, David Rudoler, Joyce Li, Sandra D’Souza

Bibliographic record

VenueHealthcare policy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsInstitute of Health Services and Policy ResearchUniversity of TorontoInstitute for Work & HealthInstitute for Clinical Evaluative SciencesOntario Tech University
Fundersnot available
KeywordsMainstreamGovernment (linguistics)PoliticsFace (sociological concept)Political scienceEconomic growthPublic administrationPower (physics)SociologyEconomics

Abstract

fetched live from OpenAlex

This paper considers one of Ontario's largest reform efforts: the Aging at Home Strategy (AHS). The AHS was initiated in 2007 to enable people to live independent lives in their own homes. A document review was conducted on relevant government materials to assess the goals and objectives of the AHS as it was rolled out over the course of three years. The findings identify that by the third year of the AHS, there was a reduction in the discretionary powers of the regional health authorities to allocate funds based on local priorities. These findings also highlight that the "mainstream" subsectors of the healthcare system - medical and hospital services - and those outside the mainstream (or the "marginal" subsectors) face different institutional boundaries, policy legacies, political actors and policy agendas. While interests within the mainstream subsector are organized and institutionalized, the marginal subsectors are fragmented, creating a power imbalance where the priorities of the mainstream subsector dominate.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.853
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.139
GPT teacher head0.447
Teacher spread0.307 · 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 teacher head, not a consensus.

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

Citations16
Published2018
Admission routes3
Has abstractyes

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