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Record W2530372501 · doi:10.4000/nuevomundo.69612

Canadian English-speaking Catholics, Latin America and the Refugee issue under Trudeau

2016· article· en· W2530372501 on OpenAlexaboutno aff
Daniela Saresella

Bibliographic record

VenueNuevo mundo mundos nuevos · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Social Dynamics in Chile and Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansRefugeePoliticsNewspaperFace (sociological concept)Political scienceWorld War IIPopulationEconomic JusticeGender studiesLawSociologyEconomic historyHistorySocial scienceDemography

Abstract

fetched live from OpenAlex

During the period of the Council Vatican II, the Catholic world in Canada underwent profound transformations. From the Sixties onwards, English-speaking Canadian Catholics began to take an interest in social problems and, in particular, the contradictions existing in the South American part of the continent. The new climate of inter-religious dialogue encouraged collaboration between the various Christian groups all committed to non-violence and opponents of war and in favor of social justice in the poorer countries. From 1973 onwards, Canadian society, and the Catholic communities as well, had to face the problem of political refugees coming mostly from Chile and Argentina and take up a position regarding the violence against the civilian population in San Salvador and the new socialist and Christian political experiment in Nicaragua. Thanks to the pages of the Toronto newspaper Catholic New Times it is possible to reconstruct the spirit of that age and, most important, verify the close relationship between the progressive North American Catholic world and the new religious and political projects emerging in Latin America.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.007
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.013
GPT teacher head0.281
Teacher spread0.268 · 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
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
Published2016
Admission routes1
Has abstractyes

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