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Record W2219430461

Turystyka religijna w polskich parkach narodowych

2015· article· pl· W2219430461 on OpenAlexaboutno aff
Franciszek Mróz

Bibliographic record

VenueCeON Repository (Centre for Evaluation in Education and Science) · 2015
Typearticle
Languagepl
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Na terenie polskich parków narodowych rejestruje się obecnie kilka ośrodków i miejsc pielgrzymkowych. Do najważniejszych z nich należy sanktuarium na Świętym Krzyżu w Świętokrzyskim Parku Narodowym – najstarszy ośrodek pielgrzymkowy w Pol-sce. Często odwiedzane jest również sanktuarium Matki Bożej Jaworzyńskiej Królowej Tatr na Wiktorówkach i św. Brata Alberta na Kalatówkach oraz krzyże na Giewoncie i Tarnicy. W opracowaniu przedstawiono formy i wielkość ruchu turystycznego do miejsc pielgrzymkowych w parkach narodowych. Dokonano także analizy zasięgu przestrzennego oddziaływania oraz rozkładu ruchu turystycznego w ciągu roku w sanktuariach na Świętym Krzyżu i Wiktorówkach.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0050.003
Open science0.0000.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.002

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 head0.029
GPT teacher head0.361
Teacher spread0.332 · 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
Published2015
Admission routes1
Has abstractyes

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