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Record W2942749669 · doi:10.22215/history/2005.sv

A Very Fortunate Life The Early Years - WW II Patriotic Duty : A Career with Canada's Immigration Service – Retirement

2005· book· en· W2942749669 on OpenAlexaboutno aff
Roger St. Vincent

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationMemoirRefugeeCitizenshipWifeOfficerMilitary serviceHistoryPoliticsPraiseWorld War IIPolitical scienceLawArt

Abstract

fetched live from OpenAlex

Roger St. Vincent writes of his early life and experiences as Canadian Federal Immigration Officer of the former Citizenship and Immigration Canada. The memoir tells the tale of a young Montreal native joining the air force during the Second World War, working with refugees in post-war Europe, and then moving around the globe for the next three decades in the service of the immigration department. In 1972 Mr St. Vincent took over as Team Leader to manage the crisis of the expulsion of Asians from Uganda, earning the gratitude of the 6,000 refugees brought to Canada and the praise of Canadian leaders back home. Roger finished his career as Charge d'Affaires in Belgrade and then as Director, European Operations, retiring in July 1982 and now dividing his year between Slovenia, his wife's home country, and Montreal. The inclusion of personal photographs, letters, and other memorabilia enrich this memoir and offer the reader a valuable lesson in some of Canada's most significant political history.

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)0.001
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 score0.071
Threshold uncertainty score0.514

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0290.005
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.002

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 head0.182
Teacher spread0.171 · 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
Published2005
Admission routes1
Has abstractyes

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