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Record W3047010056 · doi:10.7202/1070578ar

Nuit électrique : atmosphères lumineuses à Montréal au XIXe siècle

2020· article· en· W3047010056 on OpenAlexaffvenueabout
Valeria Téllez Niemeyer

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicNight-time city culture
Canadian institutionsUniversities Art Association of Canada
Fundersnot available
KeywordsEphemeral keyPerformative utteranceHonourSubjectivityConstitutionElectric lightHistoryVisual artsPublic spaceArtArchaeologyAestheticsPolitical scienceEngineeringArchitectural engineeringPhilosophyLawElectrical engineering

Abstract

fetched live from OpenAlex

In Montréal, the first public demonstration of electric lighting took place in 1879, on the Champ-de-Mars, and was coordinated with a military exercise in honour of Queen Victoria's birthday. At the end of the nineteenth century, modes of experiencing the urban environment by night changed through a series of public demonstrations. These events were ephemeral spectacles designed to expose city dwellers to the unusual effects of electric light. These early experiences with electric light gave rise to new forms of subjectivity that would later be embodied in the everyday spaces of cities. To better understand the impact of electric lighting on the constitution of modern public spaces in Montréal, this article examines the performative nature of the first demonstration in the city in 1879, the role of the main actors involved, and how it was visually represented and disseminated in the press.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.227

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.001

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 head0.017
GPT teacher head0.220
Teacher spread0.203 · 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
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
Published2020
Admission routes3
Has abstractyes

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