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Record W3103908857 · doi:10.7202/1072769ar

« Se sentir chez soi »

2020· article· fr· W3103908857 on OpenAlexvenueno aff
Matteo Aria, Fabio Dei

Bibliographic record

VenueAnthropologie et Sociétés · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyArtPhilosophy

Abstract

fetched live from OpenAlex

Les objets ordinaires présents dans nos maisons peuvent être étudiés en tant qu’expression de catégories culturelles fondamentales : les relations familiales de filiation et de mariage, les formes de la distinction sociale et la construction d’identités sociales. On peut aussi voir dans ces objets l’engagement et le dévouement aux valeurs « sacrées » et aux « thèmes ultimes », au sens de ces termes dans la théorie de la « religion invisible » de Thomas Luckmann. Cet article propose de fusionner cette théorie avec les « new material culture studies » (« nouvelles tendances de la recherche en culture matérielle »), en analysant la « singularisation » (Igor Kopytoff) ou la « densification » (Annette Weiner) des objets ordinaires de la culture de masse. Plus précisément, certains résultats d’une recherche ethnographique menée dans des foyers de la classe moyenne et de familles populaires de certaines villes de Toscane sont discutés. En particulier, l’analyse se concentre sur les « objets d’affection » ou « reliques personnelles », sur les « archives de la mémoire » et sur les différentes manières dont les photographies sont présentées dans l’environnement domestique.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.020
Scholarly communication0.0080.005
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.003

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 head0.441
GPT teacher head0.557
Teacher spread0.116 · 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 routes1
Has abstractyes

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