Notice bibliographique
Résumé
Why is what we call a fish so confusing? It seems to me that sometimes in the sciences, as much as we try to be descriptive, precise, direct, clear, and accurate, sometimes we don't always say exactly what we mean. When we interact with the broader public and their more common vernacular (and common names for organisms), forget it. What we say and what we mean and what others think we mean can get pretty discombobulated pretty fast. How can we get back to being combobulated when there is so much confusion over what exactly is a fish, let alone how we describe their characteristics? This is all true for those of us working in the fisheries profession. Did you know that silverfish are actually an insect? Or that jellyfish are actually a gooey invertebrate (mainly Cnidarians or else Ctenophores or Siphonophores [and even here, we use extra “C's” that are silent to confuse things]). Or that shellfish are really just mollusks, unless they are crustaceans, but neither are really fish. Or that starfish are actually, well, a starfish, or more technically asteroids (as in an echinoderm, not the rocky space debris hiding the Millenium Falcon). Or that cuttlefish are basically squids with a Napoleon complex. And that dolphins are not actually a fish, unless you mean dolphinfish (Coryphaenids). So maybe some of those are common language holdovers from sailors in centuries past who classified just about anything from the ocean that moved as a type of fish (except for seals, whom they called mermaids, but that's another column entirely). Still, those names have stuck around even if a bit taxonomically challenged. And let's think about fish color for a moment. Take red-fish, generically speaking. Fish such as various species of Sebastes or Lutjanus or Sciaenops or in the Trachichthyidae family. There are numerous species among those fish that have some variant of “red” in their common name. But when you look at them, at least a third or more are actually not red. And the Orange Roughy Hoplostethus atlanticus are actually more redish, just saying. At least blue-fish are blue, except for then they're not and they're more silverish or greenish-yellow. And the Yellowbar Angelfish Pomacanthus maculosus is actually mostly blue. There sure does seem to be a lot of confusion, or perhaps even color-blindness. Thank Carl Linnaeus (the patron saint of taxonomists, college Botany, and 9th grade Latin) that we have the Integrated Taxonomic Information System (ITIS; https://www.itis.gov/), a cadre of professional taxonomists and ichthyologists, and especially the AFS Committee on Names of Fishes which periodically produces the book, Common and Scientific Names of Fishes from the United States, Canada, and Mexico. Though I am sure that they, and hopefully nearly all readers of Fisheries magazine, can tell you what a fish truly is, we still seem to have some challenges when it comes to common names. Despite the definitive clarity that the binomial nomenclature these professional namers and classifiers have given us for scientific names of fishes, that hasn't always caught on and is often difficult to translate to the general public we have to deal with. Hence, confusion remains. So, what does it matter? Ummm, probably not that much. I bet you didn't expect that plot twist (if there can be such a thing in a ~750 word column). At the end of the day, ultimately, who cares what people call fish as long as they call them something? At least fish are not being mostly ignored, unlike silverfish or siphonophores. I mean, binomial nomenclature was designed to avoid confusion, and largely the technical applications in fisheries have used the Latin names to great effect, so us professionals mostly have it figured out when it comes to calling fish particular names… mostly. But there is the formal, technical utility of scientifically naming things, and then there is the common vernacular usage. And that the two don't always agree is not surprising nor really that big of a deal. Dealing with the public, being aware of popular opinion, respecting local traditions, and acknowledging common understanding and terminology may not be technically correct, but dealing with the public and their perception is all part of being a fisheries professional. So, maybe instead of us fisheries pros getting worked up about the specific accuracy of fish names when dealing with those generally interested in fishes, we simply acknowledge that we generally know what they're referring to. Unless we truly need to clarify, or we really just feel like flexing and want to drop an Oncorhynchus mykiss on someone and ask ‘em what color it is. This month's column was brought to you by the TLAA (taxonomic lumpers association of America, not to be confused with a TLA)… until next month.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,048 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».