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Record W7133064687

The duty to accommodate aging workers in employment

2008· dissertation· W7133064687 on OpenAlexfundno aff
Julie McAlpine Jeffries

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldSocial Sciences
TopicDiscrimination and Equality Law
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsDutyLegislationWorkforceBalance (ability)Work (physics)Order (exchange)Aging in the American workforce
DOInot available

Abstract

fetched live from OpenAlex

The aging workforce and the prohibition against mandatory retirement may result in employees increasingly working beyond traditional retirement age. However, impairments arising from aging may prevent workers from performing their duties. The employer's duty to accommodate these workers under human rights legislation is examined. First the duty to accommodate is considered in respect of disability in order to determine how courts and tribunals balance employer and employee rights. Then consideration is given to how the duty to accommodate should apply to aging workers, emphasizing why the duty may apply differently to age than disability. It is proposed that the duty to accommodate be narrower in respect of age than disability, either by only requiring that employees be allowed to work as long as they can perform their duties, or by only requiring modifications (possibly to a lesser extent) to the employee's own job but not transfer to another job.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.069
GPT teacher head0.448
Teacher spread0.379 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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