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Record W4391263567 · doi:10.53379/cjcd.2024.385

Professionalizing the Canadian Career Development Sector: A Retrospective Analysis

2024· article· en· W4391263567 on OpenAlex
Lorraine Godden, Roberta Borgen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Career Development · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsCarleton University
Fundersnot available
KeywordsCareer developmentPolitical scienceSociologyPedagogy

Abstract

fetched live from OpenAlex

The Canadian career development sector has worked for decades to enhance the professionalization of career development professionals, with such projects as the original standards and guidelines (S&Gs) launched in 2001. However, to reflect and guide current practice, extensive updates and a new approach were needed. Through research, consultation, development, and validation, the Pan-Canadian Competency Framework for Career Development Professionals, the National Competency Profile for Career Development Professionals, and the Code of Ethics for Career Development Professionals were created. In examining the process of this comprehensive project, Bronfenbrenner’s (1979) ecological systems theory offers a conceptual framework for understanding the complex interconnected systems impacting the sector. Then Kouzes and Posner’s (2003, 2012) five exemplary practices of leadership are applied to explore the actions and behaviours that created purposeful spaces where practitioners, subject matter experts, and theorists could collectively and authentically work together to accomplish extraordinary tasks.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.034
GPT teacher head0.230
Teacher spread0.196 · 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