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Record W2165258613 · doi:10.1017/s0144686x06004958

Ageing, disability and workplace accommodations

2006· article· en· W2165258613 on OpenAlex
Julie Ann McMullin, Kim M. Shuey

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

VenueAgeing and Society · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsWestern University
Fundersnot available
KeywordsAccommodationAttributionAgeingPsychological interventionLimitingPsychologyReasonable accommodationAge discriminationGerontologyMedicineSocial psychologyPolitical scienceLabour economicsEconomicsPsychiatry

Abstract

fetched live from OpenAlex

In most western nations, laws discourage discrimination in paid employment on the basis of disability, but for these policies to be of benefit, individuals must define their functional limitations as disabilities. There is a strong relationship between age and disability among those of working age, yet it is unclear whether older workers attribute their limitations to disability or to ‘natural ageing’. If the latter is true, they may not believe that they need or qualify for workplace accommodations ( i.e . adaptations or interventions at the workplace). Similarly, if an employer ascribes a worker's limitation to ‘natural ageing’, rather than to a disability, they may not offer compensatory accommodation. Using data from the Canadian 2001 Participation and Activity Limitation Survey , this paper asks whether workers who ascribe their functional limitation to ageing are as likely as those who do not to report a need for a workplace accommodation. It also addresses whether those who identify a need for compensatory accommodations and who ascribe their limitation to ageing have unmet workplace-accommodation needs. The findings suggest that, even when other factors are controlled, e.g . the type and severity of disability, the number of limiting conditions, gender, age, education, income and occupation, those who made the ageing attribution were less likely to recognise the need for an accommodation; and among those who acknowledged a need, those who ascribed their disability to ageing were less likely to have their needs met.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.088
GPT teacher head0.376
Teacher spread0.288 · 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