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Record W3157313964

Religion and Refugees: The Evolution of Resettlement in the United States and Canada

2018· dissertation· en· W3157313964 on OpenAlexfundaboutno aff
Geoffrey Cameron

Bibliographic record

VenueTSpace · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
FundersPierre Elliott Trudeau Foundation
KeywordsRefugeePolitical scienceDevelopment economicsEthnologyHistoryLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

This dissertation compares the evolution of refugee resettlement policy in the United States and Canada between 1945 and 1980. The contingent responses of both countries to displaced people after the Second World War evolved in the context of subsequent refugee crises during the Cold War, generating institutional configurations that became formalized in major refugee legislation passed in 1976 (Canada) and 1980 (United States). The mobilization and engagement of religious groups with the policy process was a central dynamic over time. In the United States, their interaction with Congress produced a corporatist structure of cooperation that persists to this day; nine voluntary groups implement the entirety of the United States’ annual resettlement program. In Canada, decision-making was centred in the bureaucracy, where a reluctant partnership with religious groups produced privately-funded refugee sponsorship as a complement to government-managed refugee programs.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0120.004
Scholarly communication0.0050.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.331
Teacher spread0.319 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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