Bibliographic record
Abstract
Basic understandings of subjectivity are derived from principles of masculine embodiment such as discreteness. But pregnancy challenges such understandings because it represents a sort of splitting of the body. In the pregnant situation, a subject may experience herself as both herself and an other, as well as neither herself nor an other. This is logically untenable—an impossibility. If our discourse depends on discrete referents, then what paradigms of identity are available to the pregnant subject? What could be the pregnant subject's ontology? Eric Bapteste and John Dupré offer the idea that organisms are processual beings. In their view, the ecological interrelationships between the organisms are defining, and render them dynamic processes, rather than stable things. Does Bapteste and Dupré’s processual ontological account accommodate pregnant organisms, including pregnant subjects? Here, I suggest some criteria for an ontology of pregnancy. I test the processual account and determine whether it can accommodate the phenomenon of pregnancy. I find that a processual ontology captures a great deal about pregnant embodiment and is a significant improvement over Cartesian and anti-metaphysical accounts. However, in order to accommodate pregnancy, what we still need from an ontology is the inclusion of subjectivity.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.044 |
| Scholarly communication | 0.006 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| 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".