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Record W2770815130 · doi:10.13152/ijrvet.4.3.4

The Reasons Behind a Career Change Through Vocational Education and Training

2017· article· en· W2770815130 on OpenAlexaff
Jonas Masdonati, Geneviève Fournier, Imane Zineb Lahrizi

Bibliographic record

VenueInternational Journal for Research in Vocational Education and Training · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsVocational educationPsychologyPsychological interventionQualitative researchMedical educationPhenomenonPopulationCareer developmentSocial psychologyPedagogyApplied psychologyMedicineSociology

Abstract

fetched live from OpenAlex

We report the results of qualitative research on adults who enrolled in a vocational and education training (VET) program with the intention of changing their careers. The participants were 30 adults aged between 25 and 45 years. A modified version of the consensual qualitative research method was applied to transcriptions of semi-structured interviews with the participants. There appeared to be two main reasons underlying the decision to enrol in a VET program with the aim of initiating a career change. Based on the reasons given, two groups (career changers and proactive changers) and five distinct categories were recognized. The career changers included individuals who wished to change careers due to dissatisfaction with their current situation. In this group, the decisions were motivated by either health problems or personal dissatisfaction. The proactive changers included individuals who wished to reorient their career because of a desire to undertake new projects. In this group, there were three categories of reasons: a wish to attain better working conditions, a search for personal growth and a desire to have an occupation that fitted the person’s vocation. Thus, the participants reoriented their careers according to various motivations, pointing to the existence of a heterogeneous population and the complexity of the phenomenon. The results highlight the importance of understanding the subjective reasons behind career changes and the need to adjust career interventions accordingly.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.646
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0020.001
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 head0.767
GPT teacher head0.636
Teacher spread0.131 · 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 designOther design
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

Citations26
Published2017
Admission routes1
Has abstractyes

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