When the baby breaks: exposing the nerves of neonatal bioethics.
Bibliographic record
Abstract
Neonatal intensive care is an ambiguous and anxious medicine with troubling un/intended consequences. The causes and increasing prevalence of premature birth, available histories and the establishment hospital-based neonatology are presented, with a particular focus on American and Canadian contexts. The thesis traces neonatal medicine’s unlikely swerve through early-American freakshow culture, considers the influence of the eugenics movement, and spans decades of haphazard clinical experimentation with premature babies. Of particular interest is the complex nexus between neonatology and disability and what new technologies reveal about deep-rooted human desires and fears about life, death and disability. Incorporating statistical data, policy analysis and clinical trends with personal, parent and practitioner narratives leads to provocative ethical questions about neonatology’s growing powers. This thesis draws on critical disability theory and contemporary critical theories concerning technology, and builds towards a conception of disability that is separate from the medical paradigm, somewhat unorthodox, and certainly post conventional.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.028 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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".