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Record W7070382729

Wholly Quantum

2020· other· en· W7070382729 on OpenAlexfundno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
FundersYork University
KeywordsMultitudeUniverseFace (sociological concept)PhysicistQuantumExhibitionParallel universe
DOInot available

Abstract

fetched live from OpenAlex

Most theories of quantum mechanics do not offer clear yes/no empirical answers to all questions that seem at face value. The Many-Worlds Interpretation, originated by Hugh Everett in the late 1950s, is unique for its unambiguous envisioning of reality: our universe is one of the numerous parallel universes that frantically branch off from each other nanoseconds by nanoseconds. In many of these worlds, there exist exact replicas of you and me, all evolving independently. My thesis exhibition, entitled Wholly Quantum, articulates this controversial theory in a visual way. Through a hybrid of electronics, lights, and sculptures, the exhibition recasts reality within an utterly surreal framework and investigates the battle between a single reality versus a multitude of realities, what we perceive versus what reality is. This paper, as one of the two components of my thesis, carries out my research and creative experiments on the phenomena of reality and perception.

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)
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.006
GPT teacher head0.157
Teacher spread0.151 · 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
Published2020
Admission routes1
Has abstractyes

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