Effect of Labour Market Information (LMI): Comparison Between Independent and Assisted Use of LMI
Bibliographic record
Abstract
According to a large meta-analysis (Brown and Ryan Krane, 2000), labour market information (LMI) is a critical ingredient in achieving career goals of individuals. This study aims to assess the effect of LMI use, with and without the help of a counsellor, taking into account the possible presence of differential effects according to client consultation needs (career choice or job search). Clients (n = 203) in job centres in New Brunswick and Saskatchewan were assigned randomly to two delivery modes: the independent self-help (use of LMI without help) or the assisted self-help (use of LMI with help of a counsellor). The results suggest that the LMI effect over time, although it is significant in both groups, is more important when participants are assisted by a counsellor. At the clinical level, this effect is moderate (Cohen, 1988). This result does not differ significantly according to the client consultation needs.
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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 | 0.013 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.017 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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 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".