Bibliographic record
Abstract
In recent years, many scholars have offered innovative accounts of social categories such as gender, race, and disability. By contrast, comparatively little work has been done on the category of children. The goal of our paper is to offer a new account of what children are. We start by discussing the two main accounts that have been put forward so far in the literature: naturalistic accounts and normative accounts. According to the former, to be a child is a matter of possessing, or lacking, some ‘natural’ and ‘objective’ properties. According to the latter, to be a child is to possess a particular normative status. We argue that both naturalistic and normative accounts are subject to a variety of objections. We then propose our own social constructivist account. According to it, to be a child in any given society is to be regarded by the dominant ideology of that society as the target of a set of broadly paternalistic norms, in virtue of the possession of a cluster of natural properties such that, according to the dominant ideology of that society, it is justified to subject that individual to such norms. We conclude our paper by showing that our account meets the criteria of success for an account of what it is to be a child and by addressing some objections.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.045 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".