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Record W3125676766 · doi:10.1017/s0047279420000720

Do Assessment Tools Shape Policy Preferences? Analysing Policy Framing Effects on Older Adults’ Conceptualisation of Autonomy

2021· article· en· W3125676766 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Social Policy · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsCentre de Santé et de Services Sociaux CavendishConcordia University
Fundersnot available
KeywordsAutonomyFraming (construction)Long-term carePublic relationsIndependence (probability theory)PsychologyService (business)Political sciencePublic economicsSocial psychologyBusinessEconomicsMarketing

Abstract

fetched live from OpenAlex

Abstract The concept of autonomy is essential in the practice and study of gerontology and in long-term care policies. For older adults with expanding care needs, scores from tightly specified assessment instruments, which aim to measure the autonomy of service users, usually determine access to social services. These instruments emphasise functional independence in the performance of activities of daily living. In an effort to broaden the understanding of autonomy into needs assessment practice, the province of Québec (Canada) added social and relational elements into the assessment tool. In the wake of these changes, this article studies the interaction between the use of assessment instruments and the extent to which they alter how older adults define their autonomy as service users. This matters since the conceptualisation of autonomy shapes the formulation of long-term care policy problems, influencing both the demand and supply of services and the types of services that ought to be prioritised by governments. Relying on focus groups, this study shows that the functional autonomy frame dominates problem definitions, while social/relational framings are marginal. This reflects the more authoritative weight of functional autonomy within the assessment tool and contributes to the biomedicalisation of aging.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.449
Teacher spread0.397 · 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