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Record W3087064313 · doi:10.29173/jjs101

Exhibiting Children

2018· article· en· W3087064313 on OpenAlexvenueno aff
Victoria Ford Smith

Bibliographic record

VenueJournal of Juvenilia Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationSociologyField (mathematics)RomanticismModernism (music)Balance (ability)Focus (optics)AestheticsMedia studiesGender studiesArtPsychologyLiteratureSocial science

Abstract

fetched live from OpenAlex

This intimate exchange between real children and the stories we tell about them is at the fore of juvenilia studies, as scholars examining texts children produce must balance attention to the young person as author or artist with a critical awareness of systems of publication, reception, and analysis that are typically managed by adults. The focus of this paper is an investigation into the challenges of researching and writing about child-produced culture amid the often-overpowering constructs of childhood that surround it, taking two young artists as case studies: Daphne Allen, and Pamela Bianco, whose work can be challenging to access in ways that arise in part from the idiosyncrasies of their cultural moment, understood here as one that combined lingering Romanticism and burgeoning modernism. Analysis of the two child artists suggests that both were savvy and self-aware in negotiating, through their art, the discourses that surrounded them; it also presents methodologies that may be useful to other scholars in the field of juvenilia studies more broadly.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.500
Threshold uncertainty score0.533

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.288
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2018
Admission routes1
Has abstractyes

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