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Record W6992333783

La satisfaction des vétérans québécois à l'égard de leur seconde carrière

2022· other· fr· W6992333783 on OpenAlexaboutno aff

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2022
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionLife satisfactionPerceived controlDescriptive research
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ : Au terme de leur carrière militaire, bon nombre de vétérans s'engagent dans une seconde carrière, dite civile. Cette transition de la vie militaire à la vie civile n'est pas sans embûches, et plusieurs facteurs peuvent faciliter ou entraver la réussite de la transition. L'objectif de ce mémoire est de déterminer les facteurs organisationnels, psychosociaux et individuels associés à la satisfaction au travail et de carrière des vétérans québécois. Les concepts à l'étude sont la satisfaction au travail, la satisfaction de carrière, la transition de la vie militaire à la civile, ainsi que la satisfaction à l'égard de la vie civile des vétérans québécois. Le modèle proposé a été vérifié empiriquement par le biais d'une étude quantitative, à partir d'un questionnaire autoadministré en ligne. L'échantillon final est de 183 répondants. Les données recueillies ont été analysées à partir de statistiques descriptives et bivariées, sous SPSS. Les résultats montrent que les facteurs organisationnels (soutien perçu de l'organisation, du supérieur immédiat et des collègues) et les facteurs psychosociaux (soutien perçu de la famille et des amis, le niveau de stress perçu et la préparation et la planification de la libération) sont associés à la satisfaction au travail et de carrière. Quant aux facteurs individuels, le genre des vétérans et le fait d'avoir été déployé durant le service militaire corrèlent positivement avec la satisfaction au travail et de carrière. Il a été aussi établi que la satisfaction au travail et de carrière est liée sur la satisfaction de la vie civile. Les résultats sont discutés au regard des connaissances actuelles, puis les apports théoriques et pratiques et les limites de l'étude sont exposés. -- Mot(s) clé(s) en français : satisfaction au travail, satisfaction de carrière, vétérans, transition de la vie militaire à la vie civile, satisfaction à l'égard de la vie civile. -- \nABSTRACT : At the end of their military career, many veterans embark on a second, so-called civilian career. This transition from military to civilian life is not without pitfalls, and several factors can facilitate or hinder the success of the transition. The objective of this thesis is to determine the organizational, psychosocial and individual factors associated with the job and career satisfaction of Quebec veterans. The concepts studied are job satisfaction, career satisfaction, the transition from military to civilian life, as well as satisfaction with the civilian life of Quebec veterans. The proposed model was empirically verified through a quantitative study, using an online self-administered questionnaire. The final sample is 183 respondents. The data collected was analyzed using descriptive and bivariate statistics using SPSS. The results show that organizational factors (perceived support from the organization, immediate superior and colleagues) and psychosocial factors (perceived support from family and friends, perceived level of stress and preparation and planning for release) are associated with job and career satisfaction. As for the individual factors, the gender of veterans and the fact of having been deployed during military service correlate positively with job and career satisfaction. It has also been established that job and career satisfaction are related to satisfaction with civilian life. The results are discussed with regard to current knowledge, then the theoretical and practical contributions and the limits of the study are exposed. -- Mot(s) clé(s) en anglais : Job satisfaction, career satisfaction, veterans, transition from military to civilian life, satisfaction with civilian life.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.325
Threshold uncertainty score0.653

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.008
GPT teacher head0.191
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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