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Record W3207159416 · doi:10.7213/2175-1838.13.002.ds06

Visita de Deus na cidade de Jerusalém: juízo e salvação

2021· article· pt· W3207159416 on OpenAlexaff
Vicente Artuso, Patrícia Zaganin Camilo Rosa

Bibliographic record

VenueRevista Pistis Praxis · 2021
Typearticle
Languagept
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsBeef Farmers of Ontario
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

As visitas de Deus ao seu povo são constatadas nas Sagradas Escrituras como eventos em que Deus se manifesta para trazer benefícios ou também juízo e punição. O objetivo desta pesquisa é analisar o verbo visitar, no hebraico (פָּקַ֥ד), no Antigo Testamento e o seu correspondente grego (ἐπισκέπτομαι)no Novo Testamento. São verbos que os autores empregaram para registrar as intervenções divinas em Jerusalém. Pretende-se mostrar os contrastes na vivência religiosa do povo, ora fiel ora infiel, o que determina a revelação de Deus como juiz que visita seu povo para socorrer e salvar ou para punir e castigar. Partimos de textos proféticos de Juízo sobre Jerusalém, para destacar no Novo Testamento a salvação pela visita de Deus em Jesus. Muitos reconhecem a presença de Deus nas ações benéficas que ele realiza. Porém Jesus se tornou também sinal de contradição para os que o rejeitam atraindo o juízo. Assim o artigo mostra os conflitos e resistências diante da visita salvadora de Jesus. Finalmente o estudo conclui com a hermenêutica pastoral da cidade.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.026
GPT teacher head0.276
Teacher spread0.250 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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