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Record W2756415884 · doi:10.31192/np.14.3.3

Holistic Pedagogy and Early Childhood Education. Good Shepherd Kindergarten - St. Stanislav’s Institution in Ljubljana

2016· article· hr· W2756415884 on OpenAlexaff
Špela Avšič, Tadej Rifel

Bibliographic record

VenueNova prisutnost · 2016
Typearticle
Languagehr
FieldSocial Sciences
TopicReligious, Philosophical, and Educational Studies
Canadian institutionsStantec (Canada)Education and Early Childhood Development
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

U prvom dijelu članka predstavljene su osnovne značajke holističke pedagogije. Najprije su opisana načela i temeljno ishodište koje u središte postavlja čovjeka kao osobu. Time su postavljeni okviri teorije za daljnju tematizaciju pedagoške prakse u predškolskom odgoju. Autori se u nastavku oslanjaju na iskustvo holističke pedagogije na području katoličkoga školstva. Postavljena su ključna težišta koja isprepliću novosti obrazovnog okruženja i vrijednosti katoličke škole. Posebice je istaknut stvaralački aspekt. U drugom dijelu autori opisuju pedagoška načela na primjeru Vrtića Dobroga pastira koji djeluje u Zavodu sv. Stanislava u Ljubljani. Katolički vrtić potvrđuje i razvija holističke pristupe na mnogim područjima u odgoju djece toga uzrasta.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0050.002
Open science0.0000.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.050
GPT teacher head0.352
Teacher spread0.302 · 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 designNot applicable
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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