Irony, critique and ethnomethodology in the study of computer work: irreconcilable tensions?
Bibliographic record
Abstract
Abstract. To broaden discussion of critique in the field of information systems beyond current approaches, we look outside the core management discourse and examine the critical element in ethnomethodological research on computer‐based work environments. Our examination reveals a form of critique that is above all without irony, seeking always to be respectful of the competence of research subjects, and informed by an in‐depth understanding of participants' practices. We argue that ethnomethodology is an often unrecognised critical approach that attempts to speak from within a community of practice and deliver critical insights that are responsive to the kinds of practical problems of interest to practitioners.
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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 | 0.196 | 0.215 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.016 | 0.236 |
| Scholarly communication | 0.028 | 0.050 |
| Open science | 0.004 | 0.018 |
| Research integrity | 0.011 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 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".