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Record W2586789914 · doi:10.1353/jeu.2017.0000

The Child Mechanical and Adult Anxiety in Children’s Literature and Culture: “Wheels to the Rails!”

2017· article· en· W2586789914 on OpenAlexvenueno aff
Patrick L. Cox

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsInnocenceConstruct (python library)AnxietyPower (physics)PsychologySociologyPsychoanalysisComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

This article examines previous studies of anthropomorphized machinery in children’s literature and posits that paying particular attention to machinery specifically anthropomorphized as children yields insightful analytic results. Earlier studies have suggested anthropomorphized machinery softens large machines and renders them less threatening. The author argues that pedomorphized machines (machines given not just human, but specifically children’s characteristics) should be studied not for what new meanings they bring to the machines, but for new meanings they bring to the construct of childhood. Rather than humanizing the machine, pedomorphic machinery blends childhood innocence and traits of James Kincaid’s “Child Botanical” with ideas of power, mobility, and freedom. These images reveal a deep unease with the coupling of childhood and technology.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0050.001
Open science0.0010.000
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 head0.005
GPT teacher head0.229
Teacher spread0.224 · 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 designNot applicable
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

Citations2
Published2017
Admission routes1
Has abstractyes

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