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Record W4234420441 · doi:10.32396/usurj.v6i2.533

Artwork

2020· article· en· W4234420441 on OpenAlexaffvenueabout
Salma Kazmi

Bibliographic record

VenueUSURJ University of Saskatchewan Undergraduate Research Journal · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsVisionStudioNarrativeRepresentation (politics)Visual artsAestheticsPerceptionArtPsychologySociologyLiteratureAnthropologyNeuroscience

Abstract

fetched live from OpenAlex

“The Surgery” is the product of a live model study and an intuitive collage that evolved into the representation of my memories observing a surgical procedure. My most prominent memory is the anesthesiologist comforting and holding the patient’s hand, asking her to count downwards from ten as her time and sensations slowly vanished. The elements in “The Surgery” are inspired on visions and sensations described by people that have been under the effects of anesthesia. Salma Kazmi moved to Canada from Mexico in 2018 to pursue an undergraduate degree. She is now in her third year of B.Sc. Double Honors Biology and Studio Art. Kazmi describes her work as dynamic and often inspired by the anatomical and ecological aesthetics. Furthermore, Kazmi is interested in studying movement, narrative illustration and perceptions of sexuality.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.715
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2850.075

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 head0.098
GPT teacher head0.273
Teacher spread0.175 · 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
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 routes3
Has abstractyes

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