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Record W7066721760

Itinerário histórico-cultural dos becos de Porto Alegre no final do século XIX

2016· dissertation· pt· W7066721760 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2016
Typedissertation
Languagept
FieldEngineering
TopicAdvanced Electrical Measurement Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Context (archaeology)Government (linguistics)Agency (philosophy)Face (sociological concept)
DOInot available

Abstract

fetched live from OpenAlex

A temática abordada nesta dissertação insere-se na linha de pesquisa Memória, Cultura e Identidade do Mestrado Profissional em Memória Social e Bens Culturais. A pesquisa está situada em um contexto do Turismo Cultural e objetivou estudar a história e os imaginários sociais e urbanos dos becos de Porto Alegre no final do século XIX para, a partir disso, propor um itinerário histórico-cultural que possibilite recuperar aspectos da memória da cidade. O referencial teórico está norteado pelos conceitos de memória, imaginário e turismo, assim como pela história de Porto Alegre e de seus antigos becos. A metodologia adotada foi a pesquisa qualitativa, de cunho exploratório, com pesquisa documental e bibliográfica. O estágio de mobilidade acadêmica em Quebec e Ottawa, no Canadá, no ano de 2014, também contribuiu para o embasamento teórico. O produto final é a elaboração de um itinerário histórico-cultural, considerando a temática dos becos do final do século XIX na cidade de Porto Alegre.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.616

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0070.003
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.024
GPT teacher head0.263
Teacher spread0.239 · 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 designQualitative
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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