Processes and outcomes of individual career counselling for different types of clients: a latent profile analysis replication and extension
Bibliographic record
Abstract
This study assessed the processes and outcomes of individual career counselling for 111 university students in Québec (Canada) who received an average of 3.19 sessions. We identified two profiles of clients at the beginning of counselling: (a) Clients with moderate levels of career indecision and distress, and (b) clients with high levels of indecision and distress. Clients in the Undecided/Distressed profile evaluated the working alliance lower than did clients in the other profile. Both profiles did not differ in the magnitude of pretest to posttest change on career indecision and psychological distress. Clients in the Undecided/Distressed profile expressed more indecision and distress at posttest than did clients in the other profile. Working alliance mediated the relationship between profile membership and outcomes at posttest.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".