Introducing the mini‐review article category and the Journal of Avian Biology review award
Bibliographic record
Abstract
Journal of Avian Biology (JAB) publishes hypothesis-driven, high-quality research from all parts of the globe that advances our understanding of the ecology, evolution and behaviour of birds.Findings can be disseminated in research articles, short communications, viewpoint articles and reviews.Reviews perform an important function as vehicles to convey critical information in a synthesized way; they not only aggregate information, but also identify current research gaps and pave the way for future investigation.Comprehensive review articles, however, are major undertakings that may quickly go out of date.To address this challenge and to offer a nimbler format to publish overviews of a particular field or aspect in avian biology, JAB introduced the 'mini-review' article category in December 2022.As the name suggests, mini-reviews are shorter than standard reviews (about 6000 words) and can be used to highlight a sub-topic or ongoing debate within a broader research area.They provide a succinct and clear summary of the research topic and give readers a quick overview of the most recent and significant advances.Journal of Avian Biology is an important outlet for young researchers.Of all the articles published in 2023, nearly 60% had a corresponding author with no more than 8 years of post-doctorate research experience.Most of the corresponding authors on these papers (close to 50%) were PhD students or early postdocs at the time of publication.To emphasize this and to highlight the mini-review category as a new outlet for early career researchers to synthesize their research, JAB announced the first 'JAB review award' competition in spring 2023.The award is sponsored by the Nordic Society Oikos (NSO), the umbrella society for the ecological societies in the Nordic countries, who publishes JAB and four other scientific journals (Oikos, Nordic Journal of Botany, Ecography and Wildlife Biology).The JAB review award is given to an early career research scientist who has an exceptional mini-review manuscript accepted for publication in JAB.The mini-review should focus on new developments and/or emerging concepts in the areas of avian research that fall within the scope of the journal.The winner of the JAB review award receives a 1000€ honorarium and the runner-up receives 500€.If the award is given for a paper with multiple
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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 | 0.023 | 0.068 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.009 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.049 | 0.053 |
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".