Bibliographic record
Abstract
Trading babies or brides for money is widely regarded as morally wrong and sometimes even legally prohibited. Yet here is a puzzle: it seems that parallel exchanges are taking place within the family unit, in the context of custody or reconciliation agreements, both of which might sometimes involve the interweaving of parental or spousal relations with financial exchange. Such cases face much less resentment and criticism, not to mention legal regulation. What can explain this gap in normative treatment? This is the ‘puzzle of intra-familial commodification.’ The article introduces the puzzle, maps it, and evaluates the ways in which it might be resolved. First, it explores the possibility that we might revise our judgment regarding either the permissibility of intra-familial commodification or the wrongfulness of the extra-familial case. Second, it examines why despite the fundamental symmetry between the cases a disparate final judgment might nevertheless be called for. Finally, it explores the option of vindicating the fundamental normative asymmetry. Thinking through the puzzle, the article offers new insights on both the centrality of the market-pricing mechanism for the general problem of commodification and the way familial ties might save intimacy from the corruption of monetary exchange.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.062 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".