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Record W2570731680 · doi:10.1111/japp.12256

Why Childhood is Bad for Children

2017· article· en· W2570731680 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Philosophy · 2017
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsUniversity of ManitobaResearch Manitoba
Fundersnot available
KeywordsVulnerability (computing)Childhood studiesIdentity (music)CriticismPsychologyEarly childhoodDevelopmental psychologySocial psychologySociologyLawPolitical scienceAestheticsComputer security

Abstract

fetched live from OpenAlex

Abstract This article asks whether being a child is, all things considered, good or bad for children. I defend a predicament view of childhood, which regards childhood as bad overall for children. I argue that four features of childhood make it regrettable: impaired capacity for practical reasoning, lack of an established practical identity, a need to be dominated, and profound and asymmetric vulnerability. I consider recent claims in the literature that childhood is good for children since it allows them to enjoy special goods that aren't available in adulthood, or which are harder to access in adulthood. I raise some difficulties for these claims. Then I argue that whatever version of these views survives my criticism will not establish that childhood is overall good for children. This is because the goods of childhood aren't significant enough to outweigh the bad features associated with being a child. I conclude by suggesting that the badness of childhood for children means that we are likely to owe more to children than to adults.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.579
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.345
Teacher spread0.310 · 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