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Record W7059455440

Alien aesthetics

2015· other· en· W7059455440 on OpenAlexaboutno aff

Bibliographic record

VenueDeakin Research Online (Deakin University) · 2015
Typeother
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsAlienThe artsEvent (particle physics)General partnershipExhibitionModern art
DOInot available

Abstract

fetched live from OpenAlex

\n\t\t\t\t\tMelbourne was visited by Bruce Sterling, one of the founders of the science fiction genre of cyberpunk, for the very first time. Bruce's work as a future thinker and visionary who has been shaping the forefront of design and technology can be followed at his Wired column, Beyond the Beyond. His public lecture at Deakin Edge on August 18th tackled the bleeding edge of contemporary culture: Alien Aesthetics. The idea of Alien Aesthetics is better known through the work of Ian Bogost. According to Bogost, Alien Aesthetics is not concerned with trying to "satisfy our human drive for art and design, but to fashion design fictions". These kinds of alien design fictions can be seen in the images produced by Google's Inceptionism, which capture the deep dreams of artificial neural networks. Alien Aesthetics is also present in pop culture, as in the work of artist Holly Herndon, whose new album Platform has been heralded as a fusion between critical thinking about technology and creative exploration of what she calls "alien sounds". This kind of cross-pollination between contemporary theory and creative practice also took place at a free parallel event at LOOP Bar on August 17th: Conversations about Alien Aesthetics. This event was organised by a partnership between the School of Communication and Creative Arts at Deakin University and The New Centre of Research & Practice, a global research platform dedicated to transdisciplinary exchanges between art and science, and featured local and virtual speakers from the United Kingdom, United States, Canada and Brazil.\n\t\t\t\t

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.057
GPT teacher head0.312
Teacher spread0.255 · 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 teacher head, not a consensus.

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
Published2015
Admission routes1
Has abstractyes

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