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Record W7052700278

Speaking to Memory: Images and Voices from St. Michaelâs Residential School. MUSEUM OF ANTHROPOLOGY, UNIVERSITY OF BRITISH COLUMBIA

2014· article· en· W7052700278 on OpenAlexaboutno aff

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2014
Typearticle
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsPhotographyEthnographyNarrative
DOInot available

Abstract

fetched live from OpenAlex

The exhibition Speaking to Memory: Images and Voices from St. Michael's Residential School was one of many events occurring throughout Canada aimed at engaging the Canadian public in the truth and reconciliation process and providing education about the Indian residential school system, the experience of former students, and the ongoing legacies of the institutions.1 St. Michael's Indian Residential School operated from 1929 to 1974 in Alert Bay, British Columbia.It was one of the 140 Indian residential schools in Canada, which were funded by the Canadian government through the Department of Indian Affairs with the aim of assimilating First Nations, Inuit, and Métis children into the dominant Canadian identity.2 The exhibition opened at the Museum of Anthropology (MOA) on the University of British Columbia campus during Reconciliation Week Vancouver 2013.This review critically assesses the presentation and educational potential of the exhibition in the context of archival materials and archival issues, highlighting the museum's successful approach to visitor engagement and the contrast of official and

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.281
Threshold uncertainty score0.564

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0290.007
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.001

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 head0.003
GPT teacher head0.159
Teacher spread0.156 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2014
Admission routes1
Has abstractyes

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