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Record W7097946669

Abstract The Comprehensive Career Needs Survey

2006· article· en· W7097946669 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Higher educationCareer developmentCareer planning
DOInot available

Abstract

fetched live from OpenAlex

was used to assess the career plans of senior high students in Southern Alberta, Canada. This article examines senior high student perceptions regarding (a) their future plans; (b) confidence in attaining their career goals, (c) importance of remaining in their community; and (d) where they anticipate working. The majority of respon-dents planned to combine full time education with part time work, were confident in achieving their career plans, and anticipated finding work in their country. Results indicate a need for programs addressing career decision making and combining education and work experience. Résume ́ Plans de carrière des étudiants de fin du secondaire: résultats du Comprehensive Career Needs Surveydans l’Alberta du Sud, Canada. Le Com-prehensive Career Needs Survey a éte ́ utilise ́ pour évaluer les plans de carrière d’étudiants de fin du secondaire dans l’Alberta du Sud, Canada. Cet article examine les perceptions d’étudiants de fin du secondaire concernant (a) leurs plans d’avenir; (b) leur degre ́ de confiance dans l’atteinte de leurs buts de carrière; (c) l’importance qu’ils accordent au fait de rester dans leur commu-naute ́ et (d) ou ̀ ils prévoient de travailler. La majorite ́ de répondants prévoient de combiner des études a ̀ temps plein et un travail a ̀ mi-temps, ont confiance dans la réalisation de leurs plans de carrière et anticipent de trouver du travail dans leur pays. Les résultats indiquent un besoin de programmes aidant a ̀ la prise de décision de carrière et combinant études et expérience professionnelle.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.272
Teacher spread0.198 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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