“Oh that you were like a brother to me, one who had nursed at my mother's breasts.” Breast Milk as a Kinship-Forging Substance
Bibliographic record
Abstract
The term “blood relatives” exists as an accepted and understood part of our English lexicon. It is only recently that anthropologists focusing on kinship studies have leveled a critique against the uni- versal application of the metaphor of “blood” as a substance that establishes kinship relatedness. Adam Kuper, for example, argues that the notion of blood relatedness is culturally constrained, a uniquely European concept that finds its fullest articulation within British imperialism, an era that coincides with the development of the field of anthropology in Europe.1 Likewise, Edouard Conte, who examines concepts of relatedness within Arab cultures, posits that the notion of kinship being determined by “blood” is a par- ticularly western phenomenon and does not fit the self- understanding of Arabs.2 He argues that Classical Arab physicians deal little with blood and do not see blood as passing on hereditary attributes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".