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Record W7132674030

The Guelph-Ghibelline Conflicts

2019· dissertation· hr· W7132674030 on OpenAlexaboutno aff
Slaven Tomić

Bibliographic record

VenueRepository of the Faculty of Humanities and Social Sciences Osijek · 2019
Typedissertation
Languagehr
FieldEconomics, Econometrics and Finance
TopicBalkan and Eastern European Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryMedium termPost office
DOInot available

Abstract

fetched live from OpenAlex

U ovom diplomskom radu govori se o dvjema političkim frakcijama koje su bile zaraćene na području Svetog Rimskog Carstva Njemačke Narodnosti. Taj sukob je nastao zbog suprotnosti političke i crkvene moći između papa i njemačkih careva te se proširio na Apeninski poluotok. Njemački carevi su pokušavali odlučivati samostalno i protivno volji papa po pitanju vjerskih svjetonazora i velike kontrole u crkvenim redovima. Naime, njemački carevi i pape nastojali su što više izvući sebične interese za sebe kada je u pitanju određeni posjed ili teritorij koji je davan svima onima koji su utjecali na društveni napredak stanovništva, a pogotovo talijanskih gradova ili komuna. Brojni vlastelini su se natjecali tko će više prigrabiti teritorija bilo na strani pape ili njemačkih careva. Kao rezultat tih težnji, javljaju se dvije stranke, odnosno gvelfi i gibelini koji se bore međusobno za goli opstanak na području današnje sjeverne i srednje Italije. Također, treba uzeti u obzir brojne strane države i dinastije koje se polako upliću u besramnu igru prevlasti na području južne Italije te rivalstva između talijanskih država koje brane svoje društvene, pomorske i gospodarske mogućnosti uz konstantna ratovanja. Može se reći da je povijest Italije u tom vremenskom periodu bila jako mukotrpna, teška i konfuzna, što daje sliku jedne europske države koja doživljava svoju transformaciju.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.084
GPT teacher head0.263
Teacher spread0.179 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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