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Record W2951107568 · doi:10.22215/etd/2017-12082

Creativity, Community, and Memory Building: Interned Jewish Refugees in Canada During and After World War II

2017· dissertation· en· W2951107568 on OpenAlexafffundabout
Elise Bigley

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsCarleton University
FundersUniversity of TorontoUniversity of Alberta
KeywordsGermanJudaismAdversaryRefugeeNarrativeConversationCreativityGovernment (linguistics)Meaning (existential)HistorySociologyPolitical scienceLawLiteratureArtPsychologyComputer scienceArchaeologyCommunicationLinguisticsComputer securityPhilosophy

Abstract

fetched live from OpenAlex

In May of 1940, a wartime British government arrested those deemed "enemy aliens" and transferred them to safe areas of the country.Over 2000 of these "enemy aliens"were Jewish German and Austrian men.On June 29, 1940, the first group of Jewish refugees was sent to internment camps in Canada.This thesis explores three different examples of memory and community to illustrate the development of the internees' search for meaning during and post-internment.Artwork created in the camps, a series of letters between ex-internees, and several issues of the Ex-Internees Newsletter are the focus of this study.Social network analysis tools are used to visualize the postinternment internee network.By looking at diverse aspects of the internment narrative, this thesis provides a unique lens into the conversation on memory and history.'deadlines' I set for myself.This thesis would not have been possible without the expertise of Dr. Shawn Graham.Thank you for opening my eyes to the digital humanities, the value of failure, and how approaching history with a touch of 'the digital' allows for a whole new world of questions to be asked.I am grateful to the staff at the Ottawa Jewish Archives and Library and Archives Canada for their help with my research.I would like to thank the department of History and my fellow

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.405

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0310.012
Scholarly communication0.0080.002
Open science0.0030.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.268
Teacher spread0.256 · 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 designQualitative
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
Published2017
Admission routes3
Has abstractyes

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