MétaCan
Menu
Back to cohort
Record W4410204967 · doi:10.5840/symposium20252915

Taylor Rogers’s NOA

2025· article· en· W4410204967 on OpenAlexvenueno aff
Taylor Rogers, Lauren Guilmette, Amy Marvin, Qrescent Mali Mason, Kelly Gawel

Bibliographic record

VenueSymposium · 2025
Typearticle
Languageen
FieldEngineering
TopicInertial Sensor and Navigation
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

This interview, conducted over several months between Lauren Guilmette and Taylor (“Tay”) Rogers, in conversation with Amy Marvin, Qrescent Mali Mason, and Kelly Gawel, examines the creation and impact of a film that Rogers produced as part of their doctoral research in Continental philosophy. The film’s creation process is, itself, of interest to contemporary Continental philosophy: this process was collaborative, emergent, and based on music that Rogers composed. In the interview, the film’s philosophical import is explored, from its connections to canonical figures like Nietzsche and Lugones to emerging feminist voices in philosophy of humour, trans studies, critical race studies, and themes related to embodiment, grief, affect, and relational ontologies. Readers are introduced to research-creation as an arts-based practice of research that holds great, often untapped value for philosophical inquiry.

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)0.005
metaresearch head score (Gemma)0.018
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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0120.005

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 head0.004
GPT teacher head0.204
Teacher spread0.201 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueSymposiumSame topicInertial Sensor and NavigationFrench-language works237,207