Marketing professional publications to the post-secondary education market: a case study of the publications of the Centre for Addiction and Mental Health
Bibliographic record
Abstract
The publishing division of the Centre for Addiction and Mental Health (CAMH) aims to increase the use of its professional books as course texts in colleges and universities by conducting marketing activities in this area. The report looks at CAMH’s role as a publisher, including the relevance of its mandate and publications to this post-secondary market. It then reviews CAMH’s past marketing approaches and strategies of other publishers who market to the post-secondary market. In order to gain a better understanding of CAMH’s educational market, a survey was conducted among 29 instructors of post-secondary mental health and addiction courses to determine how they choose and use their course texts. Findings showed that course texts are an important part of the learning curriculum; that instructors value Canadian-based texts that are closely aligned to course topics; and that instructors are generally open to receiving information from publishers.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".