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Record W2136444581 · doi:10.7202/1072428ar

Deconstructing Childhood as a Way to Justice

2020· article· en· W2136444581 on OpenAlexvenueno aff
Chi‐Ming Lam

Bibliographic record

VenuePaideusis · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Ethics, and Existentialism
Canadian institutionsnot available
Fundersnot available
KeywordsIrrationalityDenialEconomic JusticeEpistemologyMeaning (existential)Deconstruction (building)SociologyState (computer science)PsychologyPsychoanalysisLawRationalityPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Despite the multiplicity of constructions of childhood in various disciplines, the prevalent view is that children are incompetent in the sense of lacking reason, maturity, or independence. In this paper, I first examine how this dominant view is constructed in the fields of philosophy and psychology, highlighting the perspectives of Plato, Aristotle, John Locke, John Stuart Mill, and Jean Piaget. Then, following Jacques Derrida who conceives justice as a source of meaning for deconstruction, I deconstruct several of the dominant constructions and argue that they do not do children justice. To return justice to childhood, I suggest that childhood should be regarded as a self-contained state with distinctive features that are worthy of consideration in their own right rather than as an incomplete state of incompetence relative to adulthood that is considered a complete state of humans, while adulthood should be regarded as a never-ending process of becoming mature that includes rather than excludes childhood. Moreover, I suggest that both the absolute denial of adult rights to children and the naturalization of childhood in developmental psychology as a biologically determined and culturally universal stage of irrationality should be challenged.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.008
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.091
Scholarly communication0.0080.009
Open science0.0010.009
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.266
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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