As vestes de uma história: poéticas do tempo em narrativas sobre as histórias das temporadas teatrais de verão na Villa Carlos Paz, Argentina
Bibliographic record
Abstract
Durante uma viagem pelas margens do mar Mediterrâneo, recebi um convite para compartilhar algumas considerações sobre etnografias e histórias orais na mesa “Uma caligrafia diversa da Etnobiografia”, do Seminário Internacional “Novas Metodologias para o Estudo da História Oral”, na Universidade Ca’ Foscari, em fevereiro de 2020. Recebi a mensagem enquanto fazia o “Caminho de Santiago” e respirava os ares daquela trila milenar. Fiquei entusiasmada com a possibilidade de expor e discutir experiências sobre tais questões, conhecer Veneza, conhecer colegas e estudos de outras latitudes. Fui especialmente instigada pelo convite a pensar entrecruzamentos entre contar histórias e a própria prática antropológica de interpretar significados microscopicamente (GEERTZ, 2003): que significados emergem quando contamos histórias? Como aparecem? Como contar uma história das histórias contadas?
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".