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Record W2604319775 · doi:10.7202/1038862ar

Portraits de maisons à l’abandon. Ruines, photographie et mémoire des villes délaissées

2017· article· fr· W2604319775 on OpenAlex
Estelle Grandbois-Bernard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueFrontières · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La photographie de ruines connaît aujourd’hui de plus en plus d’adeptes. Comment comprendre les représentations qu’elle nous offre des villes ? Le présent article propose une lecture critique de la pratique et des images photographiques de ruines, en s’intéressant particulièrement aux photographies de maisons à l’abandon. Partant d’une critique de la « ruin porn », nous présentons une analyse de séries photographiques prenant pour objet des maisons délaissées, et proposons de considérer ces images comme des « portraits de maison », des représentations qui cherchent à exprimer la personnalité et la vitalité persistante des ruines urbaines. Différentes questions interprétatives sont soulevées par cette piste de lecture des images : la temporalité de la photographie à la rencontre de celle de la ruine, la relation entre l’image et la mort, l’invisibilisation des personnes habitant des villes en décroissance, et le devenir de l’« habiter » contemporain.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.004
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.049
GPT teacher head0.300
Teacher spread0.252 · 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