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Record W2583804195 · doi:10.16926/kf.2016.15.36

Participation of Competitors of Association of Rural Sports Teams in Summer Olympic Games in the Years 1976–1988

2016· article· pl· W2583804195 on OpenAlexaboutno aff
Arkadiusz Płomiński, Daniel Bakota

Bibliographic record

VenuePrace Naukowe Akademii im Jana Długosza w Częstochowie Kultura Fizyczna · 2016
Typearticle
Languagepl
FieldArts and Humanities
TopicSports Science and Education
Canadian institutionsnot available
Fundersnot available
KeywordsCompetitor analysisAdvertisingAssociation (psychology)PsychologyMarketingBusiness

Abstract

fetched live from OpenAlex

W latach 1976–1988 letnie igrzyska olimpijskie zostały rozegrane czterokrotnie (Montreal – 1976 r., Moskwa – 1980 r., Los Angeles – 1984 r., Seul – 1988 r.). Reprezentacja Polski w tym okresie w igrzyskach uczestniczyła tylko trzykrotnie. Decyzją Zarządu Polskiego Komitetu Olimpijskiego, Polska nie została zgłoszona do startu w XXIII Letnich Igrzyskach Olimpijskich w Los Angeles. W omawianym okresie reprezentanci Zrzeszenia Ludowe Zespoły Sportowe podczas olimpijskich startów zdobyli pięć srebrnych medali: w Montrealu – Ryszard Podlas, lekkoatletyka (sztafeta 4 ×400 m); Stanisław Szozda, kolarstwo szosowe (jazda drużynowa na czas); w Moskwie – Janusz Bobik wraz z Władysławem Hartmanem, jeździectwo (drużynowy konkurs skoków przez przeszkody); w Seulu – Andrzej Głąb, zapasy styl klasyczny (kat. 48 kg); Joachim Halupczok wraz z Zenonem Jaskułą, kolarstwo szosowe (jazda drużynowa na czas).

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.953

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.023
GPT teacher head0.284
Teacher spread0.261 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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