Working under intensive surveillance: When does ‘measuring everything that moves’ become intolerable?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We examine how call-center employees draw on opposed discourses to understand the purpose and consequences of performance measurement as workplace surveillance. Sometimes the workers saw performance measurement as a legitimate and impartial managerial tool serving the interests of everyone in the organization (e.g. by exposing free-riding, etc.). Other times, they saw performance measurement as intrusive and oppressive; imposed on them by managers who, as agents of employers, used it to serve a narrow set of interests (e.g. by intensifying work, etc.). Our analysis depicts how employees used an ironical process of predicate logic to develop flexible meaning-making strategies to cope with the apparent conflicts in meaning that arose from the two opposed discourses. We conclude by developing a three step method for the practical analysis of such ironical situations of competing discourses that facilitates our ability to reconsider and reconfigure meaning in more useful ways.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it