Professional Employment Assistance Practices in Quebec's Carrefour Jeunesse-emploi: Bonding with Youths Distanced from the Labour Market and Leading Them to Action
Bibliographic record
Abstract
Our article reports part of the findings of research conducted in Québec (Canada) with professionals employed by Carrefours jeunesse-emploi, a network of community organizations dedicated to employment participation of young people aged 16 to 35 (Provencher, Émond & Tremblay-Roy, 2010). The study was an effort to generate knowledge about employment coaching, a practice that is now shared by the different professionals attached to public, private and community employment assistance networks in industrialized nations, against a ground of activated social assistance henceforth focused on the sustainable labour market participation of excluded populations. The study sought to document the practices of professionals in community employment assistance agencies and their influence in achieving the objectives of Quebec’s participation policy. Analysis performed on 24 interviews conducted in the administrative jurisdictions of Quebec City and Charlevoix brought out three attitudes that are favoured when implementing coaching practices: helping young adults increase their self-knowledge and identify what they wish for themselves; respecting their pace in defining and reaching their goals, and being careful not to take action in their stead. These attitudes translate into two types of professional know-how or competencies: (1) creating a bond, and (2) leading young clients to take action. Findings from this research mirror conclusions in other studies showing that public employment policies are making front line workers responsible for developing, for each of their clients, the specific process that will best help them become labour market participants, and in effect, for building new social practices. On the whole, these findings confirm the pertinence of increasing our knowledge about the influence of employment services professionals in implementing public employment participation policies in industrialized nations.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 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".