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Record W7007039270

Особливості адаптації студентів першого курсу для навчання в технічному університеті України

2015· article· uk· W7007039270 on OpenAlexaboutno aff

Bibliographic record

VenueENPUIR (National Pedagogical Dragomanov University) · 2015
Typearticle
Languageuk
FieldSocial Sciences
TopicEducation and Social Development in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptation (eye)Mode (computer interface)Work (physics)Point (geometry)Higher education
DOInot available

Abstract

fetched live from OpenAlex

1. About pіdvischennya prestizhnostі shahtarskoї pratsі (25.06.2009) / The Law of Ukraine [Web Site]. – Access mode : http://prupu.org/proflideru/zakon-o-prestijnosti/ 2. Bacsa-Bán Anetta, Viktorija Marcinkevičien r(2013) Peculiarities of first year student adaptation at the higher education institution: comparative analysis [Web Site]. – Access mode : https://ojs.kauko.lt/index.php/ssktipd/article/viewFile/408/410 3. Bologna processes (2015) [Web Site]. – Access mode : http://www.euroosvita.osp- ua.info/html/ch1/diyalnist.html 4. Features of adaptation of 1st year students to training in high school. Managing organizational and educational work with students of Izhevsk State Technical University Kalashnikov (2014 ) [Web Site]. – Access mode : // http://uovr.istu.ru/curator/p- adaptation.html. 02.06.2014. 5. Pet'ko L.V. Pedagogichna sutnist' u vyznachenni ponjattja «osvitnje seredovyshhe» [Pedagogical Point of Learning Environment in the Theoretical Approaches] / Gumanitarnyj visnyk DVNZ «Perejaslav-Hmel'nyc'kyj derzhavnyj pedagogichnyj universytet imeni Grygorija Skovorody»: zbirnyk naukovyh prac'. – Vyp. 34. – Perejaslav-Hmel'nyc'kyj, 2014. – S. 109–118. URI http://enpuir.npu.edu.ua/handle/123456789/7452 6. Pet'ko L.V. Inojazychnoe obuchenie budushhih menedzherov obrazovatel'noj sfery v uslovijah universitetskoj podgotovki [Foreign languge preperation of future managers of educational institutions in the term of university education] // Innovacii v obrazovanii : nauchno-metodicheskij zhurnal / uchred. Sovremennaja gumanitarnaja akademija ; gl. red. I.V.Syromjatnikov. – M. : Sovremennaja gumanitarnaja akademija, 2013. – № 12. – S. 36–45. URI http://enpuir.npu.edu.ua/handle/123456789/7868 7. Taylor, Peter G. and Pillay, John A. (2004) Exploring student adaptation to new learning environments: some unexpected outcomes / International Journal of Learning Technology 1(1): 100-110 [Web Site]. – Access mode : http://eprints.qut.edu.au/1966/1/1966.pdf. 8. Top 10 most popular professions in the Ukraine. (3. 10. 2013 ) [Web Site]. – Access mode : http://www.segodnya.ua/economics/business/TOP-10-samyh-vostrebovannyh- professiy-v-Ukraine-464550.html 9. Jakupova S. An analysis of ethnic prejudice through modeling of mono-ethnic groups / S.Jakupova, Z.Madalievab, L.Ilimkhanovac, M.Perlenbetov / // Intellectual Archive, 2014. – Volume 3. – Number 1 (January). – Toronto : Shiny Word Corp. – P. 52–60.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.006
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0350.009

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 head0.431
GPT teacher head0.415
Teacher spread0.016 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

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