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Record W4380231569 · doi:10.1515/9780773587366-002

Preface

2012· book-chapter· en· W4380231569 on OpenAlexfundaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersGovernment of CanadaU.S. Department of State
KeywordsComputer science

Abstract

fetched live from OpenAlex

The journey that led to the publication of this volume began in Toronto in June 2009 with a conference entitled "The St Louis Era: Looking Back, Moving Forward," which was co-hosted by the Government of Canada and the League for Human Rights of B'nai Brith Canada.This conference, held in partnership with the US Department of State, the French Ministry of Foreign Affairs, the US Holocaust Memorial Museum, and the Mémorial de la Shoah was the "liaison" project that led to Canada's entry as a full member of the Task Force for International Cooperation on Holocaust Education, Remembrance and Research.The conference proceedings were designed to do more than just examine the fate of the passengers of the ill-fated voyage of the MS St Louis in 1939, many of whom, tragically, later perished in the Holocaust.The St Louis was, after all, just one boat of many bearing refugees who had taken to the seas in desperation, searching for safe haven from Hitler's Nazi regime.The goal of the conference was to look more widely at this era of prejudice and restrictive immigration policies; hence the title of the conference and the terminology used by some of the authors in this book.Academics, educators, government officials, and human rights acti vists from Canada and abroad came together to take a fresh look at the perceptions and policies of the past, in some cases revisiting familiar terrain in search of new perspectives.Conference presenters set forth difficult questions and offered answers that were, of necessity, tentative.But two unmistakable conclusions emerged: first, that further research was necessary on this painful subject to encompass both the intellectual and emotional spheres of inquiry; second, that a national body should take the lead in fostering new scholarship 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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.627
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0060.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.3730.154

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 head0.018
GPT teacher head0.202
Teacher spread0.184 · 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.

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
Published2012
Admission routes2
Has abstractyes

Explore more

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