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Record W2592041301 · doi:10.21226/t2fs3f

Ukraine Alive—A Teaching Website that Continues to Teach Its Creators

2017· article· en· W2592041301 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEast/West Journal of Ukrainian Studies · 2017
Typearticle
Languageen
FieldComputer Science
TopicInnovative Educational Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPresentation (obstetrics)HumanismAnalyticsResource (disambiguation)Composition (language)Computer scienceMultimediaMathematics educationWorld Wide WebPsychologyArtData scienceLiteraturePolitical science

Abstract

fetched live from OpenAlex

Ukraine Alive is a digital resource built to support elementary education and available at http://ukrainealive.ualberta.ca. The site features contemporary cultural material from Ukraine and is rich in interactive units where students can explore content, play games, and perform tasks online. Google Analytics shows that Ukraine Alive (and its related Alive sites) are popular with teachers and used throughout Alberta and beyond. The creators of Ukraine Alive are working on more sophisticated games to test if gaming can teach culture effectively.Ukraine Alive is also used to teach students at the university level. By generating content for the Alive series of sites, university students learn how to write for publication online, producing formal text and combining it with visuals and audio. Teaching university students the humanistic aspect of formal composition for presentation online is an area of instruction that is only now being recognized.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.001
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 head0.115
GPT teacher head0.386
Teacher spread0.271 · 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