Innovating the Study of Context: Using a Qualitative Study on Subjugation and Resistance to Explore the Utility of Foucauldian Governmentality as a Framework for Enriching Situational Analyses
Bibliographic record
Abstract
Situational analysis has, as an emerging poststructuralist approach to grounded theory, recently grown in use across a diverse range of disciplines and substantive areas. In this paper, we consider the complementarity of Foucauldian governmentality as a theoretical framework for supporting and enriching situational analyses. Our work is based on the findings of a recent study, informed by situational analysis, in which we interviewed 27 HIV-positive (n=16) and HIV-negative (n=11) gay men ages 50 and over about their health care experiences, and used these data to examine processes of subjugation and resistance reflected in their accounts. Drawing on our analytical process, we consider the utility of governmentality in identifying salient discursive forces within a situation of interest, in theorizing how contextual factors operate on and influence the experiences of key actors in a field of inquiry, and in generating insight on fluid uses of power within an area under examination.
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.
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 | 0.049 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.013 | 0.046 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.002 | 0.011 |
| 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".