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Record W1565303784

Ovelhas que não são deste aprisco: da visão encarnacional para a pastoral da convivência. Perspectivas ecumênicas do trabalho missionário de Scilla Franco no Mato Grosso do Sul

2015· article· pt· W1565303784 on OpenAlexaboutno aff
Fernanda Cassador Costa

Bibliographic record

VenueAnais do Congresso Internacional da Faculdades EST · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicReligion and Society in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

O artigo aborda o projeto de roca comunitaria realizado pelo missionario Scilla Franco na decada de 1970 na Missao Tapepora como um trabalho de diaconia.  Ele procura analisar os diferentes impactos que o projeto desencadeou em, pelo menos, duas perspectivas: a implementacao de novas dinâmicas para o contato entre os povos indigenas e as missoes metodistas, e a transformacao das relacoes interetnicas da regiao – entre os Terena e Guarani. Esses processos serao percebidos a luz da critica de correntes ecumenicas ao colonialismo, que teve seu apice nas decadas de 1960 e 1970, e a seus efeitos em projetos locais de desenvolvimento. Examinaremos as visoes que presidiram a concessao de financiamentos pela Igreja Unida do Canada a projetos como o de Scilla Franco, que contou com financiamento canadense, e as diretrizes especificas do mesmo, visando a uma transformacao da atuacao missionaria junto aqueles povos

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.813

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.011
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.067
GPT teacher head0.366
Teacher spread0.299 · 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
Published2015
Admission routes1
Has abstractyes

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