« Consommer la mobilité » en Bulgarie postsocialiste (1990-2000) : sujets et objets
Bibliographic record
Abstract
Analysing the social connotation of material consumption among the newly rich in Bulgaria, this article examines the dynamics of postsocialist identity. The material object is regarded as a means of expression for the newly rich individual to establish an identity within the new social context. Principal purchases — the house and car—must materialize the individual's success. However, these objects create a contradiction between the modernity of global mobility, and the sense of belonging to a place that stems from the perpetuation of local traditions. It is the family, where the most material investment is made, that must reconcile social mobility with cultural continuity. Resume Analysant la connotation sociale de la consommation materielle des nouveaux riches en Bulgarie, cet article vise la dynamique identitaire postsocialiste. L'objet materiel est aborde comme moyen d'expression de l'acteur lors de son interaction avec le nouveau contexte social. Les premiers objets d'investissement - la maison et la voiture - doivent materialiser la reussite individuelle. Ils expriment cependant une identite contradictoire, oscillant entre la modernite d'une mobilite mondialiste et une appartenance locale geree par des valeurs traditionnelles. C'est la famille, lieu privilegie d'investissement materiel, qui doit reconcilierla mobilite sociale et l'ancrage culturel.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".