Extending the understanding of bridge employment: a critical analysis
Bibliographic record
Abstract
Purpose Few studies aim to uniquely conceptualize the experiences of bridge employees after they enter the workforce. Supported by the psychological contract theory and the self-determination theory, the purpose of this paper is to contribute to the understanding of the bridge employment experience by examining how the expectations of bridge employees shape their experiences. Design/methodology/approach This paper first reviews the extant literature on bridge employment. It then discusses the psychological contract theory and the self-determination theory, and examines the expectations of bridge employees through the theoretical perspectives of these two theories, to examine experiences in bridge employment. Findings Discord in the bridge employment relationship may be attributed to a lack of understanding of the implicit expectations of bridge employees. More specifically, unmet expectations may be detrimental to the bridge employment experience, and ultimately jeopardize both employer and employee outcomes. Research limitations/implications This paper examines expectations and experiences of bridge employees from a theoretical perspective. Theoretical tenets are utilized to analyze how and why implicit expectations may influence bridge employees in ways that result in detrimental outcomes for both employers and employees. Practical implications This paper sheds light on why bridge employment arrangements may result in adverse outcomes. Specifically, when there is a lack of understanding between bridge employees’ expectations and experiences, both individual and organizational outcomes may be impaired. An improved understanding of the bridge employment experience will likely result in an enhanced working relationship between bridge employees and employers, and minimize misunderstandings about this cohort of the workforce. Originality/value Using the guidelines of the psychological contract theory and the self-determination theory, we develop a model to examine how expectation of bridge employees may affect the experiences and ultimately, the outcomes of bridge employment. The authors also identify factors uniquely applicable to bridge employees. This is the first paper that examines the experiences of bridge employees through such theoretical perspectives.
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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 | 0.030 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.018 | 0.043 |
| Scholarly communication | 0.012 | 0.022 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".