Perceptions of Affiliate EAP Counselors: An Exploratory Study
Bibliographic record
Abstract
An exploratory study of Canadian Employee Assistance Program (EAP) affiliates from Saskatchewan and Ontario was undertaken employing one focus group of four persons, and the completion of 12 open-ended questionnaires. Participants on average had 23 years of clinical experience with a mean of 14.6 years of EAP-specific practice. Participants became external EAP counselors through two primary means: being invited, typically via an unsolicited telephone call or letter, or by actively seeking out to become an affiliate to supplement their existing private practices. Study participants in general enjoyed their work with this population, particularly the diversity of issues with which clients presented and felt that providing counselling to this group was critical. However, they also highlighted several grave issues they faced in fulfilling their responsibilities as EAP affiliates. The primary clinical and ethical concern was the inability to provide sufficient counselling hours to clients in need due to continuous pressure to spend less time with clients from their employers, along with a constant need to ask permission from less seasoned clinical directors for extra counselling sessions. There was a feeling among some of dishonesty between what organizations were told their employees would receive regarding clinical services and what affiliates were allowed to provide. EAP vendors did not acknowledge experience in terms of hourly compensation, and during the economic downturn many affiliates had been asked to reduce their hourly rate. Several of those in the study who had not accepted were no longer receiving referrals. In general there was no training or support provided affiliates other than how to complete administrative forms, and little if any input was sought from the affiliates regarding the organizations for which they were working.
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.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".