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Record W2186012737 · doi:10.15388/sw.2012.28208

Rights and knowledge-based approach to aging and disability: an overview of issues and approaches

2012· article· en· W2186012737 on OpenAlexaffabout
Olga Krassioukova-Enns, Laurie Ringaert

Bibliographic record

VenueSOCIAL WELFARE INTERDISCIPLINARY APPROACH · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsCentre for Disability Prevention and RehabilitationCanadian Centre on Disability Studies
Fundersnot available
KeywordsContext (archaeology)Citizen journalismParticipatory action researchUniversal designProcess (computing)Test (biology)Inclusion (mineral)SociologyPublic relationsPolitical scienceComputer scienceGeographySocial science

Abstract

fetched live from OpenAlex

This analysis paper is part of a larger project led by the Canadian Centre on Disability Studies (CCDS) and funded by Human Resources and Social Development Canada (HRSDC), called “From Research and Knowledge to Better Practice: Building Strategies and Partnerships for Livable Communities That are Inclusive of Seniors with Disabilities” (2008-09). The central purpose of the larger project was to develop and test a model of livable and inclusive communities that includes the needs, preferences, and circumstances of seniors with disabilities. A participatory method was used to accomplish this goal by identifying the key principles and elements of what makes communities livable and inclusive for seniors with disabilities and to develop and test a Livable and Inclusive Community Evaluation Tool and process to measure the extent to which the community meets their needs. In addition, a Livable and Inclusive Community Planning Tool was developed and introduced to several pilot communities across Canada. This paper provides an overview of issues, needs and approaches to disability and aging and is the beginning of the subsequent series of papers. In this discussion the terms “seniors” and “older adults” are used interchangeably refl ecting the fl exible use of the terms in the North American context.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.100
GPT teacher head0.380
Teacher spread0.280 · 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 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

Citations5
Published2012
Admission routes2
Has abstractyes

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