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Record W2907211403

Shalom Montreal: Stories and Contributions of the Jewish Community, McCord Museum

2018· article· en· W2907211403 on OpenAlexaffabout
Sarah Nantel

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2018
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsShalomJudaismArtMedia studiesSociologyHistoryArchaeologyTheologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The exhibition Shalom Montreal: Stories and Contributions of the Jewish Community, at the McCord Museum, takes a broad look at the contributions of Montreal's Jewish community to the growth and development of the city over the span of the 20th century.The title Shalom Montreal (literally, "Hello Montreal") sets the tone for the exhibit, which welcomes and informs all exhibition goers, not just those from the Jewish community.Exhibition designers chose a thematic timeline approach, with themes including culture, economy, architecture, health care, social progress, cuisine, science, law, and the arts.The exhibition spans over 4,000 square feet and is composed of audiovisual material, textiles, artifacts, photographs, texts, and original artworks.The exhibition opens with an oral history account by journalist Elaine Kalman Naves.Against a background of klezmer, traditional music from Ashkenazi Jewish culture, Naves recounts her family's arrival to Montreal in a mixture of English and French.Visitors are then provided with a concise background on the major waves of immigration caused by anti-Semitic oppression, the introduction of pogroms, and the Shoah (Holocaust).Discussion of the establishment

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.073
Threshold uncertainty score0.227

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 studies0.0120.003
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0680.005

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 head0.021
GPT teacher head0.278
Teacher spread0.257 · 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
Published2018
Admission routes2
Has abstractyes

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