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Record W3026159793

Kras2011 : izkušenjsko učenje kot ključ za razširjanje znanja o vrednotah kamna

2011· article· sl· W3026159793 on OpenAlexvenueno aff
Beatriz Tomšič Čerkez

Bibliographic record

VenueArchivaria · 2011
Typearticle
Languagesl
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Projekt KRAS2o11 je prvic prinesel kamnito vernakularno arhitekturo kot vsebino, ki je del nase arhitekturne dediscine med izobraževalne dejavnosti za studente godpodinjstva in biologije Pedagoske fakultete UL. Dejavnosti so potekale v avtenticnem okolju v okviru predmeta kultura bivalnega okolja. Kljucni cilj je bil predstavitev arhitekture kot nosilke razlicnih družbeno kulturnih pomenov v vecplastnem zgodovinskem okolju in casu. Studenti so raziskovali povezave med arhitekturo kot okvir bivanja v specificnem prostoru in dejavnosti vsakodnevnega življenja, ki so tesno povezane z znacilnosti prostora. Da bi kulturno krajino ohranili v vsej njeni raznolikosti in prednostih, moramo poznati in razumeti vernakularno arhitekturo dolocenega podrocja in njene vrednosti v preteklem in sodobnem casu. Pred izvedbo projekta smo izdelali nacrt dela, ki je vseboval nekaj didakticno metodoloskih iztocnic povezanih z izkusenjskim ucenjem. Sledili smo shemi opazovanje, doživljanje, reflesija in preskusanje konceptov v dolocenih razmerah. S podoživljanjem in interpretiranjem izkusnje prostora z domacin materialom - kamen, smo studentom, bodocim ucitelejm, skusali odpreti pot do kriticnega razmisljanja o odgovornem ravnanju z zgrajenim in naravnim okoljem.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0310.003

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 head0.209
GPT teacher head0.232
Teacher spread0.022 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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