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Record W4390065024 · doi:10.1093/geroni/igad104.0202

AMBIVALENT AGEISM IN THE WORKPLACE AND ITS IMPACT: EXPLORING PERCEPTIONS OF OLDER WORKERS

2023· article· en· W4390065024 on OpenAlexaffabout
Martine Lagacé, Ezgi Tasyurek, Philippe Rodrigue-Rouleau, Caroline D. Bergeron, Mélanie Levasseur

Bibliographic record

VenueInnovation in Aging · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversité de SherbrookeUniversity of Ottawa
Fundersnot available
KeywordsDisengagement theoryEmployabilityAmbivalencePsychologyPerceptionSocial psychologyAge discriminationGerontologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Abstract Several countries are currently facing significant labour shortages in different work sectors. One of the solutions being considered to deal with such shortages is the retention of older workers. However, to do so, ageist attitudes and discrimination in the workplace must be countered as well as their negative impacts on older workers’ well-being. While previous studies have focused on assessing the impact of hostile ageism in the workplace, less research has been conducted on ambivalent ageism (i.e., stereotypes of fragility and incompetence) in the workplace. This study examines if and to what extent older workers perceive to be the target of ambivalent ageism and how such perceptions impact their well-being, in terms of psychological disengagement, self-esteem, perceived employability as well as intentions to leave their organization. An online, bilingual (French / English) questionnaire was completed by 951 Canadian older workers aged 50 years or more. Preliminary data analysis suggests that ambivalent ageism is negatively associated with perceived employability and self-esteem and positively associated with psychological disengagement and intentions to leave. Further, stratified data analysis by age group suggests that workers aged 62 or older perceive less ambivalent ageism, are less disengaged and have significantly higher self-esteem than workers of younger age groups. Such findings call for the implementation of workplace policies that are age-based inclusive and that account for differential experiences of ageism in the workplace.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
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 head0.260
GPT teacher head0.453
Teacher spread0.193 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2023
Admission routes2
Has abstractyes

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