Conceiving relatedness: non‐substantial relations among the Kamea of Papua New Guinea
Bibliographic record
Abstract
This article considers the implications of imagining kinship as a non‐embodied relation. In recent years, it has become commonplace to argue that relatedness is a gradually acquired state that can be built over time and by non‐sexual means. In this view, relationships of consanguinity are not given at birth but are created through purposeful acts of feeding and caring. Here, I address a question that has been less commonly asked by anthropologists: need kinship always be imagined as entailing an embodied connection? Is there a way of thinking about cross‐generational relationships that does not ground them in bodily connectedness, or, at the very least, one that imagines contexts in which they are not embodied as a substantial link between people? Drawing upon data collected among Kamea of Papua New Guinea, I describe a world in which the parent‐child tie is conceptualized as one that is inherently non‐embodied.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".