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O Efeito Arquivo: Imagens de Arquivo como uma Experiência de Recepção

2020· article· pt· W3101485933 on OpenAlexaff
Jaimie Baron

Bibliographic record

VenueLumina · 2020
Typearticle
Languagept
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Nos últimos anos, o “arquivo”, tanto como conceito quanto como objeto, vem passando por uma transformação. A crescente disponibilidade de câmeras fotográficas e de vídeo, analógicas e digitais, levou a uma proliferação de documentos indexados fora dos arquivos oficiais e suscitou questões sobre o que constitui um “arquivo” e, consequentemente, sobre o que constituem “documentos de arquivo”. Ao mesmo tempo, cineastas estão se apropriando de imagens e sons de várias fontes, quebrando assim a distinção entre esses documentos e os “arquivísticos”. Isso exige uma reformulação da própria noção de documento de arquivo. Este artigo reformula a noção de documento de arquivo não como um objeto, mas enquanto uma experiência do espectador ou como uma relação entre o espectador e o texto. Defendo que certos documentos audiovisuais, ao serem apropriados por cineastas, produzem no espectador o que eu chamo de “efeito arquivo”, e essa experiência atribui aos documentos um tipo particular de autoridade “comprobatória”.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.050
GPT teacher head0.249
Teacher spread0.199 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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