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Après Baudelaire, quoi de neuf?

2003· article· fr· W2075234171 on OpenAlexaff
Peter Jacobs

Bibliographic record

VenueStudies in the History of Gardens & Designed Landscapes · 2003
Typearticle
Languagefr
FieldArts and Humanities
TopicLandscape and Cultural Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSalonPoetryBeautyArtArt historyAestheticsState (computer science)LiteratureComputer science

Abstract

fetched live from OpenAlex

To state the obvious, Charles Baudelaire (1821–1867) was both an inspired artist and a perceptive critic. His poetry and observations of nineteenthcentury contemporary art helped formulate the basis of a new French aesthetic; an aesthetic based on the celebution of the commonplace. It was Baudelaire who drew attention to the reflected light from the water in the gutters of the streets of Paris, and in so doing, opened our eyes to the latent beauty of everyday, mundane surroundings. It was he who drew attention to the societies of the cabaret as much as those of the literary and artistic salon. His insights into art, society and landscape, sufficiently distant from current trends, provide an interesting platform from which to observe and comment on contemporary landscape theory and practice in France.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.004
Scholarly communication0.0060.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.084
GPT teacher head0.260
Teacher spread0.176 · 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
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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