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Record W4286329866 · doi:10.3138/jeunesse.13.2.10

Echoes of Experience: Encountering Children and Childhood in the Canadian History Hall

2022· article· en· W4286329866 on OpenAlexvenueaboutno aff
Rebecca Friend, Monica Eileen Patterson

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePoliticsRepresentation (politics)SociologyHistory of childhoodGender studiesAestheticsLiteraturePolitical scienceArtPoison controlLawSuicide preventionMedicine

Abstract

fetched live from OpenAlex

How are children remembered in public memory? Within most history museums, children are superficially represented in well-worn, overly simplistic tropes overwritten by adult nostalgia, romanticism, and sentimentalism. Rarely are the details of their lives—not to mention their ideas or perspectives—engaged in a substantive and nuanced way. This representation is especially true for racialized children and those from other historically marginalized groups. Children are often presented as examples of a generic type (“ten-year-old boy”), and overwhelmingly as historical victims. But curating traces of children’s material and immaterial culture can offer insight into young people’s understandings of cultural, political, and social matters—unique and valuable perspectives that deserve closer attention. This article explores the dominant narratives used to represent children as historical actors in the recently revamped Canadian History Hall at the Canadian Museum of History. Focusing on the possibilities and challenges of presenting children’s perspectives, experiences, and voices, we take the new Canadian History Hall as a case study, and analyze both the narrative form and content of the many representations of children and childhood found in its three galleries.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0340.032
Scholarly communication0.0110.004
Open science0.0030.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.013
GPT teacher head0.210
Teacher spread0.197 · 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 designQualitative
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

Citations3
Published2022
Admission routes2
Has abstractyes

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Same venueJeunesse Young People Texts CulturesSame topicMuseums and Cultural HeritageFrench-language works237,207