Bibliographic record
Abstract
The school-to-work transition (STWT) is a major life event for those who must leave behind their lives as full-time students and begin new lives as a full-time employees. Although much has been written about the STWT, the role and importance of job search has often been neglected. At the same time, research on job search has tended to treat the job-search process as an independent and isolated activity. In this chapter, I describe an integrated model of job search within the context of the STWT. It shows that job search is preceded by a career-planning and development stage and followed by a work-adjustment stage. A successful STWT requires students to engage in a number of behaviors at each stage which should result in numerous outcomes that are necessary for a successful transition to the next stage. The model shows that job search is a critical part of the STWT that connects the career-planning and development stage to the work-adjustment stage. The chapter concludes with a discussion of the implications of the model for job search and STWT research and practice.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".