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Record W4252955519 · doi:10.1177/1038411108091755

Human resource practices for mature workers — And why aren't employers using them?

2008· article· en· W4252955519 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

VenueAsia Pacific Journal of Human Resources · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBusinessHuman resource managementHuman resourcesKnowledge managementResource (disambiguation)ManagementComputer scienceEconomics

Abstract

fetched live from OpenAlex

Two studies were conducted to assess the extent to which organizations were engaging in HR practices targeting mature workers and the reasons why organizations may not be engaging in these practices. The participants included 284 mature workers (171 in career jobs and 113 in bridge jobs) and 426 HR executives. Overall, organizations were reported to be engaging in the HR practices to a very limited extent. There were few significant differences between career-job and bridge-job respondents. Recognition and respect practices were rated as the most important HR strategy in influencing the decision to remain in the workforce. Over three-quarters of the mature workers indicated that organizations are not engaging in practices tailored to mature employees because it is not a priority for organizations whereas just over half of the HR executives indicated their organization was not engaging in these practices due to the lack of employee interest in, and demand for, such practices.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.999

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 studies0.0020.001
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 head0.093
GPT teacher head0.299
Teacher spread0.206 · 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