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Competencias necesarias para proporcionar Servicios de orientación de calidad: directrices canadienses para el Desarrollo de la Carrera

2014· article· es· W1695954864 on OpenAlexaffabout
Bryan Hiebert

Bibliographic record

VenueREOP - Revista Española de Orientación y Psicopedagogía · 2014
Typearticle
Languagees
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHumanitiesContext (archaeology)Political scienceCartographyGeographyArt

Abstract

fetched live from OpenAlex

RESUMENEn noviembre de 1996, en Canadá, se empezaron a desarrollar unos Estándares y Directrices para los Servicios de Orientación para el Desarrollo de la Carrera de ese país. En este artículo se describe el contexto que dio lugar a esta iniciativa, las fases principales en su desarrollo, y se señalan los rasgos principales de estos estándares. Se destacan las ventajas y los puntos fuertes de esta iniciativa canadiense, haciendo énfasis en aquellos aspectos que pueden ser transferibles, con las oportunas adaptaciones, a otros países. ABSTRACTIn November 1996, an initiative was begun to develop Standards and Guidelines for Career Development Service Providers in Canada.This paper provides the context that gave rise to this initiative, outlines the main stages in the developmental process, and highlights the main features of the standards. The paper concludes with a brief discussion of the strengths of the Canadian initiative, focusing on the features that are most transferable to other countries.-ABSTRACTIn November 1996, an initiative was begun to develop Standards and GDevelopment Service Providers in Canada. This paper provides the context tuhiadte lgianvees rfiosre Ctoa rteheisr ithniet isattaivned,a rodust.l iTnhese tphaep emr acionn sctlaugdeess iwn itthhe a d bervieelfo dpimsceunstsailo np roofc ethsse, satnredn hgitghhs loigf htthse t hCea nmaadiina nf eiantiutiraetsiv oef, focusing on the features that are most transferable to other countries.CKaenyadWa,o Crdons:suCltaatrieoenr PDroecveeslso,p Cmaerneet r SDtaenvdealordpsm eanntd C oGmuipdeetleinn

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)0.013
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.396
Teacher spread0.367 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2014
Admission routes2
Has abstractyes

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