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Choice as an Aspect of Quality of Life for People With Intellectual Disabilities

2009· article· en· W2053573041 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.

Bibliographic record

VenueJournal of Policy and Practice in Intellectual Disabilities · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversity of VictoriaUniversity of Toronto
Fundersnot available
KeywordsConceptualizationFreedom of choiceSet (abstract data type)Quality (philosophy)Management scienceQuality of life (healthcare)PsychologyChoice setComputer scienceEngineering ethicsEpistemologyArtificial intelligenceEngineeringPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Choice, a concept included in the quality of life approach, is frequently referred to in quality of life and related literature, but its components have not been described clearly. Drawing on conceptual considerations and research reports, the authors review and extend what is known about choice, and set out a conceptualization of its two main components: available opportunities and choice‐making. The most important characteristics of opportunities are breadth and familiarity, and the most important characteristics of choice making are freedom, initiative, and skill. The authors consider the application of choice to supports and services by discussing numerous practical issues and providing suggestions for application. These are summarized as an overall four‐step strategy for moving forward that sets the scene for more specific strategies to be developed and evaluated.

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)0.004
metaresearch head score (Gemma)0.614
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.614
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.103
GPT teacher head0.450
Teacher spread0.347 · 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