MétaCan
Menu
Back to cohort
Record W3175427907

STEVE and the Citizen Scientists: Night-watching Enthusiasts Identify a New Type of Aurora

2018· article· en· W3175427907 on OpenAlexaboutno aff
E. MacDonald

Bibliographic record

VenueNASA STI Repository (National Aeronautics and Space Administration) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicImpact of Light on Environment and Health
Canadian institutionsnot available
Fundersnot available
KeywordsSkySightHistoryNight skyGeographyAstronomyMedia studiesVisual artsMeteorologyPhysicsArtSociology
DOInot available

Abstract

fetched live from OpenAlex

Public participation in research has yielded unanticipated discoveries in many fields, but probably no recent discovery in astronomy and physics owes more to such citizen scientists than the identification of the one-of-a-kind aurora known as STEVE. A display of purple and green lights running east to west, STEVE appears relatively high up in the nighttime sky, for about an hour at a time. People who've been able to photograph it, from locations as far-flung as Tasmania, Michigan, and Scotland, and especially those in the area around Calgary, Alberta, report that the purple part of the aurora resembles a ribbon, with the green part appearing in a series of lines like a picket fencean unforgettable sight.The visible structure of STEVE has been documented by the aurora- chasing public for a long time, but only in the past few years have researchers started to identify the physical processes underlying this unusual sight. It seems that STEVE's visible light occurs along with a subauroral ion drift (SAID), a strong westward flow of charged particles that's still not completely understood.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0070.005
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0080.002

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 head0.021
GPT teacher head0.295
Teacher spread0.274 · 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 designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueNASA STI Repository (National Aeronautics and Space Administration)Same topicImpact of Light on Environment and HealthFrench-language works237,207