The Situation and Changes in the Slovenian Community in Cleveland Between 1950 and 2015 and Prospects for the Future of the Community
Bibliographic record
Abstract
Avtor v prispevku primerja poglede dveh izmed najuglednejših clevelandskih Slovencev, Tonyja Petkovška in Vinka Lipovca, na razvoj in spremembe v slovenski skupnosti v največjem slovenskem izseljenskem mestu med letoma 1950 in 2015 ter na prihodnost skupnosti. Tako Petkovšek kot Lipovec sta bila priznana kulturna delavca, ki sta v širši skupnosti uživala velik ugled in sta se tudi medsebojno spoštovala. Prvi je bil potomec ekonomskih izseljencev iz časa pred prvo svetovno vojno, drugi pa politični begunec po drugi svetovni vojni. Avtor ugotavlja, da so bili njuni pogledi na večino tematik precej podobni, pri čemer je Petkovšek večji pomen za skupnost pripisoval polka glasbi, Lipovec pa jeziku. Oba sta v prihodnosti pričakovala upad skupnosti, a vendarle njeno preživetje.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".