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Record W1542438248 · doi:10.7202/018884ar

Nostalgie à Moscou

2008· article· fr· W1542438248 on OpenAlexaffvenue
Petra Rethmann

Bibliographic record

VenueAnthropologie et Sociétés · 2008
Typearticle
Languagefr
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article explore les formes contemporaines et émergentes de la nostalgie dans la ville de Moscou. Il examine ce thème à travers le prisme de trois espaces architecturaux qui nous parlent de la nostalgie en tant que condition culturelle et temporelle spécifique, postsocialiste : le Parc des sculptures de Moscou, la cathédrale du Christ-Sauveur reconstruite et le centre commercial de la place Manezh. J’avance que ce qui est à l’oeuvre, sur le plan politique, dans ces lieux est un certain type de dé-idéologisation qui est devenue le « nouveau style » de la Russie postsoviétique. La dé-idéologisation a tourné en norme historique, en mode affective, et j’avance que c’est précisément en raison de ce processus que « l’industrie de la nostalgie » est apparue. Cet article prend l’attachement à la nostalgie au sérieux, mais plutôt que de considérer la nostalgie comme un symptôme sur un plan analytique, mon intérêt se porte sur son examen en tant que condition historique, en tant que réponse temporelle qui apparaît à un moment particulier.

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)0.002
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: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.349
GPT teacher head0.614
Teacher spread0.266 · 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

Citations8
Published2008
Admission routes2
Has abstractyes

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