Stanovništvo župe Svetvinčenat 1909.-1918. mirnodopsko vs. ratno vrijeme : analiza modernizacijskih procesa i utjecaja nepovoljnih izvanrednih okolnosti na razini mikrolokacija = La popolazione della parrocchia di Sanvincenti 1909-1918 : periodo di pace vs. periodo di guerra : un'analisi del processo di modernizzazione e l'impatto di circostanze sfavorevoli straordinarie a livello di micro locazione = Population of Svetvinčenat Parish between 1909 and 1918 : peacetime vs. wartime : analysis of modernization processes and the impact of adverse extraordinary circumstances at micro locational level
Bibliographic record
Abstract
Ovaj rad bavi se istraživanjem prirodnoga kretanja stanovništva i utjecaja modernizacijskih procesa na socijalnodemografske odrednice stanovništva župe Svetvinčenat od 1909. do 1918. godine. Glavni dio rada, podijeljen na tri glavna sadržajna dijela, predstavljaju podaci dobiveni analizom podataka matičnih knjiga krštenih, vjenčanih i umrlih. U razmatranom desetljeću analiziraju se usporedni podaci mirnodopskoga razdoblja (1909. – 1913.) i razdoblja Prvoga svjetskog rata (1914. – 1918.), tijekom kojega su, uz novačenje i rekviziciju uroda i stoke, župljani Svetvinčenta u svibnju 1915. obuhvaćeni i naredbom o evakuaciji stanovništva. Uz to, Istru je, a time i župu Svetvinčenat, 1917. pogodila jedna od najtežih suša 20. stoljeća. U radu se – uz analiziranje utjecaja i dinamike promjena u prirodnom kretanju stanovništva pod utjecajem nepovoljnih, izvanrednih okolnosti – analiziraju i osobitosti na razini mikrolokacija (naselja) župe. Istraživanje se temelji na matičnim knjigama krštenih, vjenčanih i umrlih, knjizi Status animarum iz 1910. župe Svetvinčenat te periodičnoj publikaciji austro-ugarskoga Ministarstva rata Popis gubitaka (Verlustliste).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".