Killing infants : studies in the worldwide practice of infanticide
Bibliographic record
Abstract
Acknowledgements Preface 1. Introduction: Towards an Understanding of the Infanticide Scholarship - Brigitte H. Bechtold and Donna Cooper Graves Part I: Race, Colonialism and Infanticide 2. She Made to Crush the Child's Fragile Skull: Disease, Infanticide, and Enslaved Women in 18th Century Saint-Domingue - Karol K. Weaver 3. Infanticide and Infant Abandonment in the New South - Elna C. Green 4. Infanticide, Savagery and Civilization: Australian Experience - Shurlee Swain Part II: European Lawmakers and Infanticide 5. ... in a frenzy while raving mad: Physicians and Parliamentarians Define Infanticide in Victorian England - Donna Cooper Graves 6. Unwilling Mothers and Unwanted Babies: Infanticide and Medico-Legal Responsibility in 20th Century Canadian Legal Discourse - Kirsten Johnson Kramar 7. Making Sense of the Murdering Mother: Soviet Criminologists and Infanticide in Revolutionary Russia - Sharon Kowalsky Part III: Case Studies of Infanticide 8. Bearing the Burden of Bastardy: Infanticide, Race and Motherhood in Brazilian Slave Society - Jane-Marie Collins 9. The Demon Superstition: Abominable Twins and Mission Culture in Late Nineteenth and Early Twentieth Century Onitsha, Nigeria - Misty L. Bastian 10. What she want to go and do that for? Examining Infanticide in Toni Morrison's Beloved - Denise Shaw 11. The death seemed rather unusual to me: Infanticide Investigations into the Deaths of Legitimate Children in English-Speaking Victorian Canada - Janet McShane Galley Part IV: Macroanalysis of Infanticide 12. Relative Economic Valuation of Female and Male Offspring in Nineteenth-Century France - Brigitte Bechtold 13. Sex-Selective Infanticide and the Missing Females in India and China - Andrea M. den Boer and Valerie M. Hudson Primary Sources, Infanticide Bibliography Index.
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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 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".