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Record W1561307932 · doi:10.18617/liinc.v6i2.376

Jamais fomos humanos

2010· article· pt· W1561307932 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLiinc em Revista · 2010
Typearticle
Languagept
FieldArts and Humanities
TopicPhilosophical and Theoretical Analysis
Canadian institutionsNorth Pacific Marine Science Organization
Fundersnot available
KeywordsHumanitiesHumanismSociologyMediationAlienationPhilosophySocial sciencePolitical scienceTheologyLaw

Abstract

fetched live from OpenAlex

Este artigo propõe uma análise crítica das teses pós-humanistas. Lendo teorias que estão direta ou indiretamente associadas ao pós-humanismo, tais como as de Leroi-Gourhan, Deleuze e Simondon, o autor apresenta uma história sobre a complexidade organizada, a mediação tecnológica e a alienação humana. O artigo é dividido em três partes. Explorando a tese da tecnologia como exteriorização dos órgãos, a primeira parte analisa o pós-humanismo como uma ‘teoria da alienação sem alienação’ que sistematicamente dissolve as fronteiras entre o humano e o não-humano, a natureza e a cultura, a tecnologia e a sociedade. Em seguida, através de uma investigação da ‘heterogênese maquínica’, argumenta-se que a ‘ópera maquínica’ de Deleuze e Guattari simplesmente atola o humano no magma da Vida. Por fim, focando sobre a lógica científica das tecnociências, o artigo conclui mostrando que as ciber- e biotecnologias do capitalismo industrial tardio estão reescrevendo a natureza e transformando as relações entre o humano, a vida e a máquina.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0570.005

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 head0.017
GPT teacher head0.237
Teacher spread0.219 · 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