Momentary work recovery: The role of within-day work breaks
Bibliographic record
Abstract
Drawing from research on personal resources (e.g., Baumeister, Bratslavsky, Muraven, & Tice, 1998; Fredrickson, 1998) and the episodic nature of work (Beal, Weiss, Barros, & MacDermid, 2005), we examine research and theory relevant to the study of momentary recovery in the workplace. Specifically, we propose that the nature of within workday breaks influences the levels of psychological resources, which in turn influence various workplace outcomes. First, we discuss the momentary approach to studying workplace breaks and consequent resource levels. In doing so, we distinguish between two types of breaks, respites and chores; and we detail two types of psychological resources, regulatory and affective resources. Consequences of psychological resource levels on emotional exhaustion and performance are considered. We also explore possible moderators of the proposed relationships; we discuss job and individual characteristics, and motivation to perform. Finally, we conclude the chapter with a brief discussion on future research and possible applications of the momentary approach to work recovery in organizations.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".