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Record W1567380484

Stephen Speisman, 1943-2008

2009· article· en· W1567380484 on OpenAlexaboutno aff
Ellen Scheinberg

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryArt
DOInot available

Abstract

fetched live from OpenAlex

A History to 1937.This work examined the history of Jewish Toronto during its formative years and serves as the definitive work on that subject.In 1980, the City of Toronto recognized the importance of this work, honouring Stephen with its annual Book Award.Stephen founded the Ontario Jewish Archives (OJA) in 1973 (the OJA formerly reported to the Canadian Jewish Congress's Ontario Region Office, but is now part of the UJA Federation of Greater Toronto).The archives began on Beverley Street, where Stephen's office was located on the third floor and the records were stored in the room next to the furnace.It wasn't bright, spacious, or clean, but he made the best of it and acquired many important collections during that time.He also attracted many devoted volunteers, some of whom have been associated with the OJA for more than twenty-five years.In 1983, the archives moved to the newly constructed Lipa Green Building, located at Bathurst and Sheppard.Stephen was finally given a state-of-the art storage vault, and generous office and processing space, which more than accommodated his needs at the time.During his tenure as Director of the OJA, Stephen led the Sense of Spadina Tour, which has been operating for over thirty years.He would take participants on the ninety-minute walking tour of the Kensington Market area, where he regaled them with stories about old Jewish Toronto, bring ing the sights and sounds of that era to life.He also spent considerable effort building the OJA's holdings, acquiring records from over one hundred synagogues as well as architectural drawings, photographs documenting a wide array of individuals, organizations and events, and finally, audio and visual recordings.One of his pet projects was to establish a Jewish museum, since no Ontario or national museum of this kind existed.He subsequently acquired hundreds of artifacts and organized exhibits telling the story of Ontario's Jews, using both archival records as well as museum objects.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.206
Teacher spread0.190 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2009
Admission routes1
Has abstractyes

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