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Record W4302009611 · doi:10.34632/jsta.2020.8185

Reframing the Paradigms of Inner Bodies

2020· article· en· W4302009611 on OpenAlexaff
D.A. Steinman, David A. Steinman

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCognitive reframingPsychologySocial psychology

Abstract

fetched live from OpenAlex

Awareness of our environments both external and internal are in continuous flux and highly mediated by technologies we have created. The research project we shall discuss is situated at the pivotal point of reframing our perception and consciousness in the context of the current in silico culture. More to the point, we shall refer to inroads into the bi-modal computer-generated simulations of blood flow patterns, in the pathological situation of a brain aneurysm, leading not only to the understanding of the phenomenon but also to the optimal communication of its complexity. This new approach, removed from both in vivo as well as in vitro, brings together visual and sound artists, computer engineers, designers and cognitive scientists with the essential goal of restructuring and re-configuring our understanding of self. This being said, the need to create ways that allow remodeling and reframing our perceptions through easily interactive tools that are also increasingly autonomous is at the core of the research we shall be presenting. Through novel approaches and complex technological mediation, the accompanying conscious experiences co-evolve and develop in complexity. The aim is for this project to serve as an example and starting point for stimulating debate.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.481
GPT teacher head0.574
Teacher spread0.093 · 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 designBench or experimental
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

Citations1
Published2020
Admission routes1
Has abstractyes

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