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Record W4384498366 · doi:10.3998/ergo.2908

Being a Child: A Social Constructivist Account

2023· article· en· W4384498366 on OpenAlexaff
Andrée‐Anne Cormier, Mauro Rossi

Bibliographic record

VenueErgo an Open Access Journal of Philosophy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversité du Québec à MontréalYork University
FundersUniversità di BolognaEuropean CommissionUniversitat Pompeu FabraSaint Louis University
KeywordsNormativeIdeologyNaturalismEpistemologySociologyPaternalismNatural (archaeology)Variety (cybernetics)PsychologySocial psychologyLawPolitical sciencePoliticsPhilosophy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.006
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.147
GPT teacher head0.459
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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