Embodied Action, Embodied Theory: Understanding the Body in Society
Bibliographic record
Abstract
In 2010 Jacqueline Low was invited to become an editorial board member of the then new online open-access journal Societies. In that same year, Claudia Malacrida was approached to organize a session on the sociology of the body at the 2012 International Sociological Association (ISA) meetings in Buenos Aries. When the call came in 2011 from Societies for editorial board members to propose topics for special issues of the journal, it was a natural and fortuitous timing of events and we undertook to co-edit this special issue based, in part, on papers from the conference. Because of our shared history of writing about social aspects of the body, we were convinced that both the conference and the journal papers would produce interesting and important advancements in a sub-discipline that is making exciting contributions beyond its borders to social theory and empirical sociological work.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.021 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| 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".