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Mapeando festas do Espírito Santo no Rio Grande do Sul (Brasil) e no Quebec (Canadá)

2020· article· pt· W3096546010 on OpenAlexaboutno aff
Cleusa Maria Gomes Graebin

Bibliographic record

VenueInterfaces Brasil/Canadá · 2020
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicFood, Nutrition, and Cultural Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Este trabalho é um relato de uma primeira tentativa para aproximar duas pesquisas paralelas sobre Festas do Espírito Santo no Grande do Sul (Brasil) e no Quebec (Canadá). No Sul do Brasil, esta celebração remonta ao século XVIII e no Quebec, à década de 1970. Nosso questionamento se direcionou para os contornos e especificidades que assumiu nestes espaços. A partir do seu mapeamento, tecemos considerações sobre sua entrada no Rio Grande do Sul e no Quebec, suas características, função social e simbólica. Percebemos que estas últimas estão relacionadas com a construção e reconstrução de identidades em diáspora e com a mediação entre o mundo dos homens e o espiritual – o do Espírito Santo. Em destaque, nestas duas pesquisas, a busca da identidade pela Festa e da autenticidade da Festa, esta última mais marcada no Brasil devido à distância no tempo e no espaço da Festa original açoriana.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.030
GPT teacher head0.248
Teacher spread0.217 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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