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Record W7093847788

Діяльність канадсько-українських волонтерських обмінних молодіжних програм у рамках міжнародної співпраці Національного університету «Острозька Академія» та канадської організації «Канада-сСвіт-Молодь»
\n(The performance of CanadianUkrainian
\nvolunteer youth exchange programs in the framework of
\ninternational cooperation between the National University of "Ostroh Academy" and NGO "Canada World Youth")

2015· other· uk· W7093847788 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository of Ostroh Academy (Ostroh Academy) · 2015
Typeother
Languageuk
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Experiential learningCultural exchangeStudy abroadPositive Youth Development
DOInot available

Abstract

fetched live from OpenAlex

У статті проаналізовано досвід діяльності канадсько-українських волонтерських молодіжних програм обмінів у контексті реалізації міжнародної співпраці між Національним університетом «Острозька академія» та канадською неурядовою організацією «Канада-Світ-Молодь» з точки зору волонтерства, неформальної освіти та навчання за допомогою досвіду. Охарактеризовано зміст волонтерських програм обмінів, їх завдання, суб’єкти та форми реалізації.
\n(The article analyzes the experience of Canadian-Ukrainian youth volunteer exchange programs in the context of international cooperation between the
\nNational University of "Ostroh Academy" and Canadian non-governmental organization "Canada World Youth" in terms of volunteering, non-formal education and experiential learning. The goal of youth volunteer exchange
\nprograms, their objectives, subjects, and means of youth volunteer exchange programs are defined.)

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0010.005
Scholarly communication0.0000.002
Open science0.0050.001
Research integrity0.0030.005
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 head0.036
GPT teacher head0.250
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

Explore more

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