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The construction of social space through sound. An analysis of a passage from Victor Hugo’s Notre-Dame de Paris

2021· article· en· W3149958566 on OpenAlexaff
Alizée Goulet

Bibliographic record

VenueCahiers ERTA · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Literature and Poetry
Canadian institutionsUniversité du Québec à Montréal
FundersDe La Salle University
KeywordsSpace (punctuation)Sound (geography)BattleSoundscapeSociologyArtHumanitiesMedia studiesHistoryArt historyPhilosophyAcousticsLinguisticsArchaeologyPhysics

Abstract

fetched live from OpenAlex

Notre-Dame de Paris is a novel marked by the people’s clamor, the bells’ music and the sounds of battle. In an effort to understand how sounds play a crucial part in the creative process of Hugo’s work, we will analyze chapters of Notre-Dame de Paris relating to “la grand’salle”. During the play and the election of the Pope of Fools (taking place in “la grand’salle”), people originating from all social spheres are gathered in the same space, which is favorable for verbal exchanges that underline the struggles between them – established by the particulars of their speech. In this space, different sounds (rumors, shouts, noises) destroy and reinforce social distances at the same time, creating an evershifting space of boundaries, both physical and social.

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 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
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 head0.011
GPT teacher head0.228
Teacher spread0.216 · 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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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