Seeking a Research Method to Study Women Who Have Recovered from Trauma and Addiction that Combines Feminist Theory, Somatic Theory, Alternative Forms of Representation, and Social Justice
Bibliographic record
Abstract
The following paper attempts to find an approach to research that will best suit women who have recovered from addictions and trauma and consider themselves resilient. This approach will need to combine contemporary feminist theory, somatic theory, and alternative forms of representation/interpretation. The paper will begin by exploring the connection between postmodern feminist theory and somatic theory and what they both have to say about how we embody social conditions of gender through non-verbal interactions. Research will then be examined that captures the non-verbal aspects of being in the world and how this intersects with the postmodern turn. Finally, in combining postmodernism, embodiment, and alternative forms of representation, cutting edge research will be explored that takes embodiment to the next level: social action.
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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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".