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Record W3096810398 · doi:10.21226/ewjus615

Ukrainian Popular Science in Habsburg Galicia, 1900-14

2020· article· en· W3096810398 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.

venuePublished in a venue whose home country is Canada.
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

VenueEast/West Journal of Ukrainian Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European and Russian historical studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianScientific societyRelation (database)Political scienceWork (physics)Media studiesSociologySocial scienceEngineering

Abstract

fetched live from OpenAlex

This paper historicizes the idea of “popular science” in the Ukrainian academic discourse in relation to contemporary approaches to “national science” (as “science proper”) and places special emphasis on the introduction of regular scientific lectures to public audiences in early twentieth century Habsburg Galicia. The Shevchenko Scientific Society was the central Ukrainian association of scholars and scientists at the time. Male-dominated, and increasingly dedicated to “Ukrainoznavstvo” (“Ukrainian studies”), the Shevchenko Scientific Society paid little attention to the popularization of scientific research. The Petro Mohyla Society for Ukrainian Scientific Lectures emerged in reaction to the Shevchenko Society. Its goal was to expand public awareness of the scientific work, and its members proceeded to organize regular public lectures all over Galicia between 1909 and 1914. This paper analyzes such popularization of science, propagated by the Petro Mohyla Society, and examines the lecture audiences with regard to their location, gender, and respective interests.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.090
GPT teacher head0.339
Teacher spread0.249 · 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