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Record W4388273807 · doi:10.1201/9781003260554-56

The concept of space in Deflagrações (2021) by José Luís Hopffer C. Almada

2023· book-chapter· pt· W4388273807 on OpenAlexfundno aff
Hilarino da Luz

Bibliographic record

VenueTime and space · 2023
Typebook-chapter
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsSpace (punctuation)Computer science

Abstract

fetched live from OpenAlex

This chapter is a contemplation of the topic of space in a book entitled Deflagrações, by José Luís Hopffer C. Almada (JLHCA). This author writes under various literary names , such as Nzé de Sant´y Ago, Amizé di Sant´y Águ, Ezeami di Sant´y Águ, Alma Dofer, Alma Dofer Catarino and Erasmo Cabral de Almada, Dionísio de Deus y Fonteana, and Tuna Furtado. He prefers the designation of “literary names” to differentiate himself from the heteronyms used by Fernando Pessoa. In this reflection, we will point out certain movements in different spaces (in Cape Verde and abroad), as well as important Cape Verdean figures and rebellions that occurred in Cape Verde between 1822 and 1910, i.e., the uprisings of Monte Agarro and Mindelo, and the revolts of the Engenhos, Achada Falcão and of Ribeirão Manuel. It will begin with a brief background of JLHCA, his work, and the topic under study. José Luís Hopffer C. Almada is an important reference in Cape Verdean literature and has written numerous studies, essays, and poems. He is associated with several cultural initiatives in Cape Verde and Portugal. Among other distinctions, JLHCA has figured in multiple compilations and anthologies of poetry. He has also participated in scientific events in various countries and has vast professional experience.

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: Other · Consensus signal: Other
Teacher disagreement score0.097
Threshold uncertainty score0.192

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 studies0.0050.008
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.252
Teacher spread0.233 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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