Not My Breach! Innovative Ways to Study Psychological Contract Breach and Effects on Meaningfulness
Bibliographic record
Abstract
This symposium aims to introduce innovative ways to understand psychological contracts at work, and in particular the role of contract breach and its aftermath. Extant previous research has shown that employee perceptions of psychological contract breach have profound effects on work attitudes and behaviors, and may have detrimental effects on employees’ experienced meaningfulness of work. There is an upcoming stream of research focusing on contextual factors influencing these relationships as breach is not always negative. However, little is still known concerning the specific context in which breaches occur, how these breaches affect work outcomes, and how organizations and employees may prevent, repair, or resolve the negative impact of breach. This symposium offers five papers which present studies on the context and content of contract breach, show how breach is manifested in the workplace, and how the effects of breach unfold over time. The Different Ways Breach Can Be Repaired: What Can the Organization Do? Presenter: Kevin E. Henderson; U. of St. Thomas Presenter: Elizabeth Welsh; U. of St. Thomas Presenter: Anne O'Leary-Kelly; U. of Arkansas A Unit Climate Perspective on Psychological Contract Breach Presenter: Jos Akkermans; U. of Amsterdam Presenter: Matthijs Bal; U. of Bath Presenter: Simon De Jong; U. of East Anglia Psychological Contract Breach and Its Outcomes: The Devil is in the Detail Presenter: Eloisa Federici; U. of Amsterdam Presenter: Stefan T. Mol; U. of Amsterdam Presenter: Matthijs Bal; U. of Bath Presenter: Marjolein Ten Hoonte; Randstad Group Netherlands Presenter: Claire Revell; Plus Retail The Aftermath of Psychological Contract Violation and Its Implications for Violation Resolution Presenter: Maria Maria; Carnegie Mellon U. Presenter: Yannick Griep; U. of Calgary Prototypical Stories of Commitment After Violation: The Role of Perceived Organizational Support Presenter: Yannick Griep; U. of Calgary Presenter: Maria Maria; Carnegie Mellon U. Presenter: Tim Vantilborgh; Vrije U., Brussel Presenter: Samantha D. Hansen; U. of Toronto Presenter: Joeri Hofmans; Vrije U., Brussel Presenter: Roland Pepermans; Vrije U., Brussel
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".