Notice bibliographique
Résumé
Point-counterpoint dialogue creates an opportunity for sharing different perspectives on important issues in fisheries and aquatic sciences. These can take many forms including live “debate” style events that require skilled moderation. The American Fisheries Society (AFS) has a history of facilitating such sessions at AFS meetings going back to at least 1993. Then AFS President Ray Hubley included point-counterpoints in his program of work, which led to several sessions including at Division meetings. One such event at the North Central Division Meeting in 1993 focused on conservation genetics and current stocking practices where the participants explored the extent to which they were compatible. They published a summary of those discussions in Fisheries (see Philipp et al., 1993). Twenty years later the concept has languished. Yet today, there is no shortage of issues or topics for which different views are held by members of our profession. To that end, Fisheries will be launching a new series of articles that represent a written version of the point-counterpoint approach. We are open to different formats. For example, once a topic and two “teams” are identified, each would be tasked with writing a 3,000-word perspective presenting their view. The two teams then exchange their text and write an additional 2,000 words where they respond to the perspectives raised by the other team. These two pieces are published back-to-back in the journal after peer review (focused on clarity, civility, and factual correctness—by the same referees and handling editor for both papers). The last component of the process is bringing together the two teams to generate a short joint paper that highlights key messages and opportunities for addressing the issues or bridging the divide between the differing perspectives. Indeed, that was the initial approach that was embraced in Cooke et al. (2025, this issue) and Corsi et al. (2025b, this issue) for their papers on the extent to which individual outcomes matter in catch-and-release science and management. However, upon exchanging papers it was agreed that they stood alone well and that it was clear we could easily find middle ground in a summary paper (see Corsi et al., 2025a, this issue). The point is that we are flexible and keen to work with authors to structure these in ways that work for a given topic. The editorial team of Fisheries will be generating ideas and reaching out to potential authors. However, we also welcome members of our professional community to identify topics and reach out to the editorial team. Point-counterpoints can have an in-person (or online) component like back in 1993 followed up by a paper in Fisheries or use Fisheries as the forum for orchestrating the dialogue as described above.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,074 | 0,113 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,023 | 0,042 |
| Communication savante | 0,034 | 0,035 |
| Science ouverte | 0,007 | 0,031 |
| Intégrité de la recherche | 0,067 | 0,052 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».