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Record W2087360461 · doi:10.3917/ag.695.0805

Le flâneur de la High Line de New York : un opérateur sans caméra et une vue urbaine sans film

2014· article· fr· W2087360461 on OpenAlexaff
Viva Paci, Martin Bonnard

Bibliographic record

VenueAnnales de Géographie · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article propose une analyse du parc urbain de la High Line à New York par l’étude de la forme de regard sur la ville que cette structure offre à son visiteur. Pour ce faire, nous rapprochons, dans une démarche d’archéologie intermédiale, trois postures spectatorielles : celle du flâneur (allant de Baudelaire, à Benjamin, à Simmel et à Kracauer), celle de l’opérateur du cinéma des premiers temps et, bien sûr, celle induite par le cheminement sur la High Line. Le point de vue, du haut de la Ligne, comporte en effet des caractéristiques proches de celles inhérentes aux postures anciennes précitées. Le « spectateur » de la High Line est invité, entre curiosité et détachement, à contempler la ville : ses paysages imbibés de cinéma, son rythme frénétique, ses attractions visuelles séduisantes. Laissant errer son regard dans un long travelling horizontal en plongé, ponctué de pauses contemplatives, le promeneur du XXI e siècle découvre la ville par l’entremise d’un regard similaire à celui qui caractérise le flâneur du XIX e siècle.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.679

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.003
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0310.001

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 head0.022
GPT teacher head0.254
Teacher spread0.232 · 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
Published2014
Admission routes1
Has abstractyes

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