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Record W7007150045

Петро Саварин – будівничий українського життя в Канаді
\n(Petro Savaryn as the constructor of Ukrainian life in Canada)

2016· article· uk· W7007150045 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository of Ostroh Academy (Ostroh Academy) · 2016
Typearticle
Languageuk
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianPoliticsMulticulturalismPublishingFoundation (evidence)
DOInot available

Abstract

fetched live from OpenAlex

У тезах автором висвітлено життєвий шлях видатного діяча української громади у Канаді, уродженця Тернопільщини Петра Саварина. Активний учасник суспільно-політичного життя, П. Саварин долучився до організації та розвитку багатьох українських організацій. Участь у політичному житті Канади, членство у консервативній партії, докладання значних зусиль у розробку теорії мультикультуралізму дали змогу останньому лобіювати інтересів українців на канадській землі. Окремо наголошено на ролі П. Саварина у розбудові української науки – участь у створенні Канадського інституту українських студій, виданні англомовної «Енциклопедії України».
\n(The author clarifies the life journey of Petro Savaryn, an outstanding activist of the Ukrainian community in Canada, a native of Ternopil region. As an active contributor to socio-political life, Petro Savaryn took part in the foundation and development of many Ukrainian organizations. Involvement in the political life of Canada, membership in the Conservative party, and great efforts to the development of the multiculturalism theory made lobbying of the Ukrainians’ interests on the territory of Canada possible for Petro Savaryn. Moreover, the paper stresses on his role in development of the Ukrainian science, as he took part in the founding of the Canadian Institute of Ukrainian Studies and in publishing Encyclopaedia of Ukraine in English.)

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.005
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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 teacher head, not a consensus.

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
Published2016
Admission routes1
Has abstractyes

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