Professionalizing the Canadian Career Development Sector: A Retrospective Analysis
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.023 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".