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Record W2758433436 · doi:10.22230/cjc.2017v42n4a3071

Understanding Older Canadian Workers’ Perspectives on Aging in the Context of Communication and Knowledge Transfer

2017· article· en· W2758433436 on OpenAlexaffvenueabout
Sarah de Blois, Martine Lagacé

Bibliographic record

VenueCanadian Journal of Communication · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of OttawaLaurentian University
Fundersnot available
KeywordsPerceptionWorkforceContext (archaeology)PsychologyKnowledge transferPopulation ageingSocial psychologyPopulationSociologyKnowledge managementGeographyPolitical scienceDemographyComputer science

Abstract

fetched live from OpenAlex

Background The Canadian population is aging, as is the Canadian workforce, resulting in an increase in different generations working with one another. The current study aims at understanding, from the older worker’s point of view, generational perceptions in the workplace, and further how such perceptions are linked with communication patterns as well as knowledge transfer. Analysis This study collected 167 responses from a survey of older workers. The questionnaire addressed variables under study such as intergenerational perceptions, and workplace communication and collaboration patterns. Conclusion and implications Results suggest that older workers perceived that their younger peers view them positively. Furthermore, older workers rely on accommodative communication patterns and favor knowledge transfer when interacting with younger colleagues.

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 categoriesScience 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 score0.307
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
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.370
GPT teacher head0.423
Teacher spread0.054 · 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

Citations6
Published2017
Admission routes3
Has abstractyes

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