Bibliographic record
Abstract
Ameriski quarter konj je pasma, ki se je zacela razvijati v 17. stoletju. Vsak konj te pasme mora biti registriran pri American Quarter Horse Association, kot tudi v državi, v kateri se nahaja. Z Uredbo (EU) 2016/1012 … (2016) je potrebna prenova rejskih programov in vzpostavitev rodovniske knjige za vse pasme, ki se nahajajo v državi. Poleg tega mora vsakega konja pri prodaji spremljati zootehniski dokument. Prvi ameriski quarter konj je bil v Slovenijo pripeljan jeseni leta 1995. To je bil Future Enjoy, ki ima v Sloveniji registriranih 13 potomcev. Do julija 2019 je bilo v Sloveniji skotenih 452 ameriskih quarter konj, skupno registriranih pa kar 821. Za sprejem v rodovnisko knjigo je bilo pregledanih 38 od 115 kobil, ki izpolnjujejo osnovne pogoje. V letu 2019 je licenciranih 6 žrebcev pasme ameriski quarter konj. Linearno oceno, ki je potrebna za razvrscanje v pododdelke rodovniske knjige, je od leta 2015 naprej prejelo 73 ameriskih quarter konj. Predlagamo naslednjo obliko rodovniske knjige: tri glavne rodovniske knjige (Knjiga žrebcev, Knjiga Kobil in Knjiga kastratov in steriliziranih kobil), ki so naprej deljene na Osnovno knjigo, Splosno knjigo, Knjigo I in Knjigo II, poleg glavne knjige pa predlagamo se dodatni del.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.118 | 0.023 |
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".