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Cartografia geo-literária: (entre)diálogos igaraúnicos na obra de Raimundo de Morais

2024· article· W7106041337 on OpenAlexaboutno aff

Bibliographic record

VenueRevista Geografia Literatura e Arte · 2024
Typearticle
Language
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsTemporalityNarrativePoliticsAmazon rainforestQuarter (Canadian coin)State (computer science)

Abstract

fetched live from OpenAlex

The work enables the construction of a Geo-Literary cartography with emphasis on landscape and memory from the novel “Os Igaraúnas” by Raimundo de Morais. The work written in 1938, has characteristic elements of History, Geography and Literature through a literary fiction and narrative thread in which the Brazilian Amazon is portrayed, in the state of Pará in the temporality of the first quarter of the twentieth century. Its geographic location is a site near Cametá-PA, on the Tocantins River. It addresses customs, practices, knowledge and values of subjects from the lower and middle Tocantins region. It presents elements of Physical and Cultural Geography, religiosities, political and economic aspects

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)0.003
metaresearch head score (Gemma)0.005
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 score0.026
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.014
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.282
Teacher spread0.271 · 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
Published2024
Admission routes1
Has abstractyes

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