Bibliographic record
Abstract
The idiom młode wilki (young wolves), with an additional meaning ‘young, entrepreneurial, go-getting people, who climb the career ladder fast, are extremely successful in a given fi eld’ exists in the contemporary Polish language. The meaning of this expression reveals the following semes that are signifi cant for the stereotype of wolf: ‘predacious’, ‘aggressive’, ‘hostile’, ‘distrustful’, ‘wild’, ‘dangerous for a human being’. Such a meaning of this idiom has been established under the infl uence of a fi lm directed by J. Żamojda and the song titled Obława (Hunt) by Jacek Kaczmarski although the impact of the fi lm seems to be predominant here. In the contemporary Polish texts, the expression młode wilki can be found in both standard and modifi ed forms: these are usually innovations with additions, cf. e.g. młode wilki polskiego kina (young wolves of the Polish cinematography), młode wilki obozu władzy (young wolves of the ruling camp), and młode wilki biznesu (young wolves of business).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".