MétaCan
Menu
Back to cohort
Record W2551784877 · doi:10.3138/chr.raska

Humanitarian Gesture: Canada and the Tibetan Resettlement Program, 1971–5

2016· article· en· W2551784877 on OpenAlexvenueaboutno aff
Jan Raska

Bibliographic record

VenueCanadian Historical Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeImmigrationGovernment (linguistics)Political scienceSettlement (finance)ChinaDisplaced personEconomic growthPublic administrationImmigration policyLawBusiness

Abstract

fetched live from OpenAlex

In 1966, the Office of the United Nations High Commissioner for Refugees (unhcr) lobbied the Canadian government to accept a small number of Tibetan refugees for permanent resettlement. Federal officials informed the unhcr that Canadian immigration policy discouraged group settlement. Initially, efforts to permanently resettle the Tibetan refugees were stifled as Canadian immigration officials disagreed over the resettlement of “self-described nomads.” As the Canadian government strengthened relations with the People's Republic of China (prc), federal officials resettled an experimental wave of 228 Tibetan refugees in an effort to meet their international humanitarian obligations and to find a permanent solution to the plight of Tibetan refugees in northern India. The resettlement program demonstrated that refugees from a non-European ethnocultural and linguistic background who did not qualify under normal immigration criteria could be successfully re-established in Canada in a short period of time and at a relatively low cost to the federal government. The special program for Tibetan refugees illustrated to federal officials that future refugee programs had to be coordinated with individuals and families themselves in order to effectively meet their needs and governmental requirements during resettlement.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Commentary · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.283
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations7
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Historical ReviewSame topicAsian Geopolitics and EthnographyFrench-language works237,207