Thrilled by the discourse, suffering through the experience: Emotions in project-based work
Bibliographic record
Abstract
In this article, we study emotional processes associated with the project management discourse. Employing a constructionist approach where emotions are experienced within an ordering discursive context, the study identifies four distinct emotional processes associated with the invocation of the project management discourse in daily work practices. From a study of theatre and opera house employees, we suggest that the project management discourse tends to normalize feelings of rigidity and weariness in project-based work, while emphasizing projects as extraordinary settings creating thrill and excitement. Moreover, we argue that this discourse is invoked in ways that lead individuals to internalize emotional states related to chaos and anxiety, while ascribing feelings of certainty and confidence to external organizational norms and procedures. The study highlights how employees construct project-based work as a promise of exciting adventures experienced under conditions of rational control, but also how the negative and suppressed aspects of project-based work are constructed as inevitable and to be endured. Through these emotional processes, the project management discourse is sustained and reinforced.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".