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Our Allies ... the Farm Credit System? That's Just One of the Startling Predictions for Ag Banking in the Year 2025

2009· article· en· W308251739 sur OpenAlexaboutno aff
Steve Cocheo

Notice bibliographique

RevueABA banking journal · 2009
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueCooperative Studies and Economics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNothingMillerArgument (complex analysis)Government (linguistics)Law and economicsManagementLawEconomicsPolitical sciencePhilosophy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

[ILLUSTRATION OMITTED] the weird 1960's hit song, In the year we never actually find out what songwriter Rick Evans predicted for 2525, because his opening stanza launches his song straight into the year 3535, and beyond. But ask veteran ag banker Dennis Everson about his business in the year and he's got some very definite ideas, including one shocker to current thinking: U.S. farm banks will by then have stopped seeing the Credit System as an advantaged mega-competitor to banks; instead, they will see the Credit System's institutions as allies. We'll see some unique things happening between us and our government-sponsored entities, says Everson. I think we will see a lot more partnership. Beating swords into loanshares There is much behind Everson's argument, but one factor is human nature. current generation of bankers that has done nothing but fight with the Credit System will have all retired by says Everson, who is president of the Agri-Business Division at First Dakota National Bank, Yankton, S.D., (and winner of the ABA's 2008 Bruning Award for commitment to agricultural banking). This will clear the way for a fresh perspective. Part of what may bulldoze the way for such change, and for that fresh thinking, may be a shift in the future status of the federal Credit System, suggests Samuel Miller, senior vice-president, agri-business and food banking, at M&I Marshall & Ilsley Bank. Miller thinks the partnering up--which has been seen now and then in individual markets--may come even sooner than 2025. Farm Credit may get to the point where they say, 'We need more capital, and we need more predictable capital', says Miller. I can see a scenario where they give up their cooperative status and become a for-profit bank. And that will level the playing field. What would drive such an evolution, when the present is marked by relations that range from competitive to downright cutthroat? Miller suggests regulatory reform might be one driver. Much is going to be looked at in the new Congress, and a look at Credit isn't inconceivable, even though the mortgage market is center stage. But the other is a market-driven need to evolve. the number of farmers shrinks, says Miller, so does their potential customer base. And if they want to get into other lines of business--a seemingly perennial goal--that means that they have to level that playing field. What events could lead to banking and Credit going from institutional enemies to cooperators? Everson and Miller were two of five participants in a telephone roundtable panel discussion assembled by ABA Banking Journal and the ABA Agricultural Bankers Division in November to discuss the future of ag banking and agriculture. group included a noted ag economist, three American ag bankers, and an ag banker from Canada. (See the roster on page 20.) country's changing demographics As Sam Miller's answer presaged, shrinkage and consolidation were frequently predicted for agricultural America by the panelists, who addressed these topics at a similar session, also pegged to the quarter-century mark, at ABA's National Agricultural Bankers Conference in later November. group addressed trends among both farms and farm lenders. Everson had done some number crunching to reach his conclusions about future 2025, said Everson, I see the 'lifestyler' farmers as being all gone. By lifestyler he means people who work off-farm jobs during the week, and work their farm evenings and weekends. The Baby Boomers are the ones that really got into the weekender stuff, continued Everson. They don't mind working 80 hours a week at another job that pays a salary, and the rest weekend farming. These farmers are 44-62 years old right now, Everson continued, and they'll be 61-80 by pretty much past the rigors of farm labor. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,100
Score d'incertitude au seuil0,334

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0050,002
Communication savante0,0080,009
Science ouverte0,0010,002
Intégrité de la recherche0,0050,006
Charge utile insuffisante (le modèle a refusé de juger)0,1000,029

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.

Tête enseignante Opus0,054
Tête enseignante GPT0,256
Écart entre enseignants0,201 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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