Emerging Trends in Contingent Work Research
Bibliographic record
Abstract
In the past decade there has been growing internationally-based evidence towards a trend in organizational staffing strategies which have placed emphasis upon the direct or brokered hiring of workers on temporary, fixed-term or “contingent” employment contracts in lieu of contracts with the implication of an ongoing relationship. Concurrently, there has been an emergence of research activity concerning individual and organizational-level consequences associated with the increased organizational reliance on fixed-term contracts in the workplace. This paper provides an overview of the contingent work literature and identifies topical themes and research questions which have been the primary focus of attention, as well as the possible causal interrelationships among the diverse constructs which have been examined. The paper highlights aspects of the existing research that may benefit from further exploration, as well as consideration of a number of theoretical and methodological issues which have also emerged. © 2004Elsevier Inc. All rights reserved.
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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 | 0.031 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.014 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.013 | 0.017 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".