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Record W7096300475

Canadian Journal of Counselling / Revue Canadienne de Counseling /1992, Vol. 26: I 15 Career Paths and Socio-Economic Status

2016· article· en· W7096300475 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationWorking lifeIdentification (biology)Life course approachPoint (geometry)
DOInot available

Abstract

fetched live from OpenAlex

Few of the sequential models of adult vocational development have undertaken a comparative identification ofcareer paths according to the socio-economic status ofworkers. On the basis of interviews carried out with 786 adults, randomly assigned after stratifying according to three socio-economic classes, nine age strata, two genders and three working sectors, this article presents three vocational trajectories within the three social classes, each comprising nine phases ofworking life. The integrative model has been elaborated on the basis of these results. This article proposes two of its main principles: I) equilibrated integration of adaptive and creative functions; 2) vocational continuity within time-spaces. Resume Peu de modeIes sequentiels du developpement vocationnel ont procede aune identification comparative des cheminements de carriere en fonction du statut socio-economique des travail-leurs. Nous avons donc tente d'etudier ce point a partir d'entrevues realisees aupres de 786 adultes designes au hasard et ce, suite a une stratification effectued selon trois classes socio-economiques, neufstrates d'age, les deux sexes et trois domaines de travail. Cet article presente

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.734

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.209
Teacher spread0.192 · 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 designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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