Pathways to the profession: An outcomes based approach towards excellence in Canadian public relations and communications management educations
Bibliographic record
Abstract
This policy paper from the Canadian Public Relation Society’s (CPRS) outlines a new relationship between educators and the Society. In recent years, many institutions have asked CPRS to provide processes and support for consistency in curriculum and program planning that would lead to the formal recognition and endorsement by CPRS of educational programs. In addition, they asked for options to enrich students’ learning experience with direct links to the profession. As a way to address this while respecting the independent nature of programs, the CPRS National Council on Education developed the five pathways introduced in this document, which integrate education, skills training and research. ©Canadian Public Relations Society, all rights reserved.
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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 | 0.065 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.017 | 0.011 |
| Science and technology studies | 0.020 | 0.021 |
| Scholarly communication | 0.030 | 0.012 |
| Open science | 0.004 | 0.026 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".