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Record W7133177578

Small sculpture by Stipe Sikirica in Sinj and Jabuka

2021· dissertation· hr· W7133177578 on OpenAlexaboutno aff
Martina Ivandić

Bibliographic record

VenueUniversity of Zadar Institutional Repository · 2021
Typedissertation
Languagehr
FieldEconomics, Econometrics and Finance
TopicBalkan and Eastern European Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStipe (mycology)Reservation systemAtticKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

Akademski kipar Stipe Sikirica je svojim radom obilježio i proslavio tradiciju Cetinske krajine i Sinjske Alke. Objedinjavao je brojne stilove, stoga se u njegovu radu mogu prepoznati brojni utjecaji kao što je utjecaj velikog Ivana Meštrovića ili pak Alberta Giacommetija. Tijekom života se bavio brojnim medijima u kojima je veličao motive rodnog kraja, ali i prikaza ljudske figure. Jedan od tih medija je i mala plastika u koju se ubrajaju brojna djela, primjerice medalje, novac i plakete. Upravo taj pomalo zapostavljeni medij zaslužuje određenu dozu identifikacije, analize i vrednovanja jer je S. Sikirica u brojnim djelima na inovativan i detaljan način prikazivao različite motive. Sagledavao je ljudske portrete na prijateljski način, stoga ih je izrađivao na način da se njihova esencijalna bit može prepoznati. Ističe se činjenica da je Sikirica koristio različite materijale, ali je nastojao vjerno prikazati motive kako bi objektivni promatrači mogli prepoznati te motive i sagledati portrete na prijateljski i blizak način. Izuzetno mu je bilo važno donijet životnost likova koje portretira, ali i iznijeti određeni osjećaj koji se javlja u srcima Cetinjana tijekom Alke i svetkovine Velike Gospe. Iako je S. Sikirica bio izuzetno zaintrigiran malom plastikom, glavni fokus će biti na djelima koja se mogu pronaći u Sinju i u rodnom selu kipara, Jabuci. Djela koja se nalaze u Sinju su prisutna u monografijama i katalozima, ali određena djela iz Jabuke nisu nikada obrađena i prikazana stoga će ovaj rad omogućiti da se pravilno vrednuju ta nepoznata djela.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.164
Teacher spread0.147 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

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