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Record W2916956961 · doi:10.1080/14733285.2019.1582751

The educational work of a National Museum: creating knowledgeable young citizens in Ottawa, Canada

2019· article· en· W2916956961 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueChildren s Geographies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsContext (archaeology)Museum informaticsMuseum educationMuseologyCitizenshipSpatializationDestiny (ISS module)NationalismSociologySpace (punctuation)Media studiesWork (physics)National heritagePolitical scienceVisual artsPedagogyHistoryArtAnthropologyArchaeologyEngineeringLaw

Abstract

fetched live from OpenAlex

This article explores the geographies of education at the National Museum of Canada in the first half of the twentieth century. Through an analysis of the spatialization of children’s museum education, we highlight how the museum sought to inculcate in young Canadians knowledges about their country, its people, and natural resources. We situate children’s museum education within the broader context of Canadian nationalism, other museum activities, and public education in the capital. Focusing on the design and material organization of the museum, we highlight how the space of the museum, from the objects on display to the imposing grandeur of the building, sought to impress upon students the importance of the knowledge it conveyed. Finally, we illustrate how the museum’s programming aimed to provide children with knowledge of their national heritage, building citizenship through claims of development as destiny.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.999

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)0.0020.000

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 head0.007
GPT teacher head0.190
Teacher spread0.183 · 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