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Record W2792264068 · doi:10.15200/winn.152111.18240

Hi Reddit! We discovered “Steve,” a mysterious purple light in the sky related to auroras. We’re space and citizen scientists participating in an initiative called Aurorasaurus and working with NASA. Ask us anything!

2018· dataset· en· W2792264068 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Winnower · 2018
Typedataset
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsAmateurSkySpace (punctuation)Media studiesComputer sciencePhysicsHistoryMeteorologySociology

Abstract

fetched live from OpenAlex

EDIT 4:35 pm ET: Thank you all for your excellent questions. It’s been a lot of fun sharing our science with you. We’re signing off now. We have just published a study detailing “Steve,” an aurora-related dancing purple light first spotted – and named! – by amateur photographers. This new information about Steve comes from analyzing satellite data, all-sky cameras and additional citizen-scientist photographs. Steve’s scientific name is now Strong Thermal Emission Velocity Enhancement (which can still be shortened to STEVE). STEVE appears as a faint purple ribbon of light in the sky and is often accompanied by a short-lived, green, picket fence structure. It looks much like an aurora but occurs at lower latitudes closer to the equator. After analyzing satellite data, we learned that STEVE is the visible side of something we were already familiar with: sub auroral ion drift (SAID), a fast moving stream of extremely hot particles. SAIDs appear in areas closer to the equator (like southern Canada) than where most auroras appear. Until now, we never knew SAIDs had a visual component! Studying STEVE can help us paint a better picture of how Earth’s magnetic fields function and interact with charged particles in space. You can help us learn more about STEVE by submitting your photographs and sightings of the phenomenon to a citizen science project called Aurorasaurus (online at aurorasaurus.org or on your device as iOS and Android apps). Check here for more details about how to spot STEVE. Answering your questions today are: Liz MacDonald, space scientist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and founder of Aurorasaurus Chris Ratzlaff, citizen scientist who first named Steve; runs the Alberta Aurora Chasers Facebook group Burcu Kosar, space scientist at NASA Goddard Matt Heavner, space scientist at the New Mexico Consortium, Los Alamos, New Mexico Bea Gallardo-Lacourt, space physicist at the University of Calgary, Canada Bill Archer, space scientist at the University of Saskatchewan, Saskatoon, Canada Megan Gillies, space scientist at the University of Calgary, Canada We are now live. @NASASun on Twitter

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.245
Teacher spread0.228 · 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