"Sleight of Hand" or "Selling Our Soul"? Surviving and Thriving as Critical Qualitative Health Researchers in a Positivist World
Bibliographic record
Abstract
The commodification and corporatization of research within the academy, research institutes, and professional and political sectors has ignited much attention within the critical qualitative health field. Of particular concern is that the ascendance of neoliberal rationality is increasingly making critical qualitative research transgressive and difficult to practice. We reflect on this concern by deconstructing our experiences collaborating with large teams of interdisciplinary researchers. We offer interpretation of key events, interactions, processes, and existential and material consequences, and discuss lessons learned and productive strategies for working at the margins of the health sciences. We argue for the need to engage in a comprehensive resistance agenda in order for critical qualitative health researchers to not only survive but also thrive in the health field.
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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 | 0.021 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.033 | 0.007 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.003 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".