Waterfowl of North America: Hunting and Recreational Values of North American Waterfowl
Notice bibliographique
Résumé
It is almost as difficult to find individuals opposed to waterfowl conservation as it is to hear Americans speaking out against motherhood or corn on the cob. Yet, in a real sense, it has been the American tradition of unchecked population expansion, taming the wilderness, and converting prairies and marshes into cornfields that has nearly spelled disaster for some of our native waterfowl. Of a wetland area in the United States that originally covered some 127 million acres, nearly 50 million acres have already been drained and lost as waterfowl habitat. Marshes have not only been converted to farmland but also have provided land for expanding suburbs and have been covered with cement or asphalt for roads, airports, and the other hallmarks of modern civilization. All of this has been done in the hallowed name of progress, for the benefits of a greater gross national product, and in hopes of a higher collective standard of living. Unfortunately, waterfowl have had few spokesmen to decry their changing standards of living, and their gross national product can only be measured in terms of the numbers of birds that annually fly southward toward their wintering areas. These numbers, as reflected in annual harvests and changes in season lengths and bag limits, provide a measure of the health of our waterfowl resource. In recent decades that health index has often sagged alarmingly, and a few species have scarcely been able to recover from these setbacks. Some persons might well pose the questions: "Just how important to our economy is a healthy waterfowl population? So what if one or two species might become extinct, aren't there plenty more to take their places?" It is nothing if not traditional to measure the value of things in terms of dollars, the very lodestone of American values. Thus, there are the annual license fees and "duck stamp" costs paid by some two million hunters-and the costs of ammunition, gas, lodging, and expendable supplies that are used on every hunt. Then there are the depreciation costs on guns, clothes, vehicles, boats, decoys, and all the other special equipment on which the waterfowl hunter lavishes his care and dollars. Costs of raising and training hunting dogs, rental or lease costs for hunting areas, hunting club costs, and similar ancillary expenses all contribute to the overall economic impact of waterfowl hunting. The 1965 National Survey of Hunting and Fishing reported that the average American waterfowl hunter spends over fifty dollars per year on his sport. With more than two million waterfowl hunters in the United States and Canada, at least a hundred million dollars per year would be a minimum economic value of waterfowl hunting.
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 | 0,001 |
| 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) | 0,001 | 0,000 |
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 tête enseignante, 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 ».