Bibliographic record
Abstract
The editors of Hungarian Studies Review are seeking proposals and submissions for the following types of manuscripts:The editors of HSR also welcome submissions beyond those outlined above, including project and conference reports, polemical scholarly debates, pedagogical discussions, and photo essays (subject to permissions). We also welcome proposals for special thematic issues.The journal provides copy-editing assistance to contributors, though we will return submissions to authors prior to consideration for publication if significant revisions are necessary. Please consult the Style Guide on the HSR webpage (https://www.psupress.org/Journals/jnls_HSR.html —click on “Submissions” and then on “Style Guide”) for details on how to format your submission.Send all proposals and inquiries to our managing editor, Leslie Waters: lwaters@utep.edu.Send all suggestions for books to review to the book review editor, Szabolcs László: szlaszlo@iu.edu.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".