Describing the Canadian post-secondary career centre landscape: An exploratory survey
Bibliographic record
Abstract
Despite growing interest in post-graduate employment outcomes, limited empirical literature exists about how post-secondary career centres in Canada currently operate. Through a national survey, this study sought to describe the external conditions and the internal organizational factors that influence career centre operations, the philosophical orientations of career centres, the career services offered to various stakeholders, the measures of success that are collected and reported, and the human, financial, and space resources available to operate. The Anglophone survey was designed using a Delphi panel of experts to ensure the comprehensiveness of the questions and tested using a pilot group of local career centre staff. Representatives from 63 career centres across Canada responded to the national survey from a variety of career centre types within university, college, or polytechnic institutional settings. The findings, which reveal the current landscape influencing career centre operations, are generally presented as descriptive statistics including means, medians, ranges, and frequencies. Using Hackman’s (1985) theory of power and centrality in resource allocations as the lens for analysis, the researcher hoped to identify relationships between resources available to career centres and the operational choices that they make. For each of the six themes, the differences in how career centres have responded operationally across geographic region, institutional type, and career centre type were identified using chi-square and analysis of variance methods, providing a rich description of the Canadian post-secondary career centre landscape. Another contribution made by this study includes a framework for determining the centrality of non-academic units using Hackman’s (1985) theory. The primary findings of this study are that career centres should rethink their focus on day-to-day differences and work together toward solutions for providing outstanding career development services for post-secondary students and that it is time to consider setting minimum qualifications for career development professionals in Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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 teacher head, 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".