MétaCan
Menu
Back to cohort
Record W1558182684

No stars, by Alia Scalvini

2014· article· it· W1558182684 on OpenAlexaboutno aff
Redazione Tecnoscienza

Bibliographic record

VenueTecnoscienza · 2014
Typearticle
Languageit
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSophisticationAmbiguityObject (grammar)KaleidoscopeConversationMeaning (existential)LeverAestheticsComputer scienceEpistemologyPhilosophyArtificial intelligenceVisual artsPhysicsArtLinguistics
DOInot available

Abstract

fetched live from OpenAlex

When artists draw on materials and techniques from an area such as science, they must be able to keep free from demonstration and verification. It is to be good at having a lyrical approach, imagining “the Earth is still flat and considering science and technology as mysterious and fantastic tools. In the proposed image, a model of the tetrahedron designed by the Canadian scientist and inventor Alexander Graham Bell as a module for the gliders is altered. change is made by the torsion of a plane surface, through developing formal ambiguity, thus depriving the object of its aerodynamic function. model was then made available to a group of people with whom the artist opened a dialogue. Hence a spontaneous conversation was triggered about the nature of the object itself, from which it turned out a kaleidoscope of assumptions, definitions, visual projections, constituting the series No stars. Some stretches of the dialogue: There are surfaces to which you can adhere in a metaphorical sense; The rotate plane is a lever that multiplies these surfaces toward infinity; Ironic instruments punctuate the experience; I can still imagine the earth as flat. Reflection concerns the inevitable sophistication produced by the attempt to define a form. And this sophistication is a problem we have in common. In fact a strong ambiguity is always encountered when it is sought to define an object, for the object is not merely placed in a space, but is itself a space. By de-contextualizing the object we have a first difference of meaning and by altering it we have a second one. Thus it becomes as a lever, which projects an endless becoming and an unbreakable repositioning of itself, transporting us in a field of huge possibilities. “No stars” is a work in progress based on a single rule: neither the object nor its shadow will ever match the shape of a star. by Alia Scalvini (the work in its entirety can be viewed at: http://aliascalvini.altervista.org/Sito_2/Works/Pagine/Thetraedron.html )

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0070.007
Open science0.0010.003
Research integrity0.0030.011
Insufficient payload (model declined to judge)0.0200.019

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 head0.018
GPT teacher head0.230
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueTecnoscienzaSame topicArt, Technology, and CultureFrench-language works237,207