MétaCan
Menu
Back to cohort
Record W2964099896 · doi:10.22323/1.358.0951

Capturing Cosmic Ray Research and Researchers with Art

2019· article· en· W2964099896 on OpenAlex
Jim Madsen, Faisal Abdu'Allah, Mark-David Hosale, Maryam Ladoni

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsYork University
Fundersnot available
KeywordsOutreachCosmic rayPortraitCOSMIC cancer databaseEvent (particle physics)Computer scienceVisual artsAstronomyPhysicsPolitical scienceArtAstrophysics

Abstract

fetched live from OpenAlex

We describe our experiment with an alternate approach to presenting cosmic ray research. The goal was to more widely promote cosmic ray research and attract diverse audiences, especially those from groups that are underrepresented in science or that do not have experience attending science outreach events. The IceCube Neutrino Observatory education and outreach team brought together local teenagers, internationally accomplished artists, science communicators, and scientists to produce an interactive gallery exhibit, Messages, that explores the cosmic ray community and science. The artists collaborated with the scientists and students to create two original installations that will be displayed at the UW--Madison Memorial Union Gallery for six weeks, from mid-June, 2019, through the end of the International Cosmic Ray Conference 2019. Event Horizon by Abdu'Allah with Ladoni features portraits of cosmic ray researchers and high school students who are learning more about the field. This installation will examine the science community as it is and as it could be. Messages from the Horizon by Hosale with Madsen is inspired by previous immersive works. It combines sound and light to explore what we know and how we know it.

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.

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)0.002
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.541
GPT teacher head0.479
Teacher spread0.062 · 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