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Record W4318212422 · doi:10.51427/cet.sdc.2022.0013

Operation: "Orfeo & Amduat" Morte cénica enlaça doença e mito

2022· article· en· W4318212422 on OpenAlexaff
Anabela Mendes

Bibliographic record

VenueSinais de Cena · 2022
Typearticle
Languageen
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsCanarie
Fundersnot available
KeywordsArtPhysics

Abstract

fetched live from OpenAlex

Operation: Orfeo and Amduat: An Oxygen Machine, the two productions by the Danish Company Hotel Pro Forma that we have chosen to see, allow us to establish, in different ways, correspondence sections that attribute to re al death a path that is always announced in life and to its final blow. At the same time, we are offered a one way ticket, which does not prevent us from walking a non return path – the one of that same death -, except through what inhabits scenic representation and other forms of art. We have called it scenic death, assuming the fact its orientation is mostly set up among the performing arts. This manifestation highlights the place of the body and the body itself as the dwelling-place of our interiority, which starts with the one who forever abandons this world and to whom we always fail to recognize expressiveness.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.597
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.5970.256

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 head0.044
GPT teacher head0.335
Teacher spread0.290 · 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.

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
Published2022
Admission routes1
Has abstractyes

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