Bibliographic record
Abstract
This chapter describes how an interpretive phenomenological analysis (IPA) study generated perceived risk for stakeholders and for participants. Here, perceived risk was interpreted through discourses and practices specific to intimate partner violence contexts that influenced intimate partner violence professionals' subjective experiences. These risk-responses were a fundamental threat to the purpose of the research: to contribute to meaningful change for the participants in their contexts. The clash between the research aim and the risk-responses opened a theoretical space for reflection about power and knowledge relationships in lived experience and meaning-making in IPA research. Specifically, this chapter addresses the question of whether the current epistemological stance grounding IPA research leads to meaning-making that reproduces knowledge in a form that overlooks the omnipresent influence of power and knowledge dynamics. Butler's philosophies of power, knowledge, subjectivity, and performativity are explored as means of expanding the epistemological foundation of IPA.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.029 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".