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Record W3005979143 · doi:10.7202/1066800ar

Le paysage serait-il une forme surannée ? Mise en représentation de la ville, art urbain et pratiques transitoires

2020· article· en· W3005979143 on OpenAlexaffvenueabout
Suzanne Paquet

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsContext (archaeology)Object (grammar)Field (mathematics)AestheticsSociologyArgument (complex analysis)ArtGeographyArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

This essay raises the question of the role remaining to art in today’s vision and practice of landscape. Between the social demands attached to the concept of landscape and the ethical concerns linked to sustainable development, it seems that landscape has become a foreign body within artistic practice. Landscape is now often considered as an object, a piece of land shaped by human use that can even be completely reshaped by landscape architects and other professionals. Paradoxically, this point of view has been, at least in part, inspired by the work of the land artists who worked in the 1960s and 1970s: they conceived a model so strong and operative that it became a formula, and this formula has been appropriated by extra-artistic practitioners. Perhaps landscape must now be evacuated from the field of art. Certain specific instances from the Montréal context support this argument, and certain contemporary artistic interventions suggest a means of resistance to the results of the “landscaping” of cities.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.013
Scholarly communication0.0100.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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
Published2020
Admission routes3
Has abstractyes

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