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Record W4387939442 · doi:10.1201/9781003260554-53

Space-time and the production of meanings in Nuno Bragança's Directa

2023· book-chapter· en· W4387939442 on OpenAlex
La Salette Loureiro

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTime and space · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Various disciplines have studied the Space and Time categories over time, both separately and together. For humans, according to Tuan, “The experience of space and time is largely subconscious” (2014, p. 118). As in human experience, these two categories are inseparable in narrative genre because “‘story time’ emerges from the interplay of space, events, characters, and plot structure” (Scheffel, 2014). The inseparability of Space and Time is also present and visible in a city, as shown by several authors. Concerning these two categories, in Nuno Bragança’s novel Directa , the author explores simultaneously the potential offered by the city of Lisbon and the narrative genre. In this chapter, we intend to show how the author treats space and time in the novel, especially, how he uses the practice of the city space as an intentional way to establish and treat various times and build essential messages of the work, especially through hero maps and routes, and reflections.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.779
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.186
Teacher spread0.169 · 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