Notice bibliographique
Résumé
Optimism about the U.S. economy's prospects improved sharply in the second quarter, but compensation freezes, layoffs and capital spending cuts were still on the horizon for about half of companies, according to a survey of CPA financial executives. Nearly one-fifth of respondents were optimistic or optimistic about the U.S. economy's outlook over the next 12 months, according to results from the Business & Industry Economic Outlook Survey Q2 2009, conducted by the AICPA and the University of North Carolina's Kenan-Flagler Business School. Barely 5% expressed similar optimism in the first quarter of 2009. It was the first time in almost two years that the proportion of respondents expressing optimism in the U.S. economy increased quarter to quarter. Recent government actions and the new administration, improving economic indicators and the availability of credit were cited as causes for optimism in open-ended comments by respondents. You have to keep in mind that we were probably at rock bottom in terms of CFOs' optimism a quarter ago, Tom Foard, CFO of Publishers Circulation Fulfillment Inc. in Towson, Md., told the JofA during the AICPA National CFO Conference in May. think you're seeing renewed optimism that we are going to come out of this and that the stimulus plan and the TARP program are going to work. [Regarding timing of recovery] I think we're looking at the middle of 2010. While more than half of respondents (53%) had a or outlook for the economy in the second quarter of 2009, overall pessimism was down from 83% in the first quarter. The percentage of respondents who were very pessimistic fell even more sharply--from nearly 21% in the first quarter to 7% in the second quarter. [Managers] have optimism for the economy as a whole, but I think they're cautiously optimistic. I would expect we'll see a quarter or two before firms begin to increase employment, increase spending, increase investment, said Mark Lang, professor of accounting at the University of North Carolina's Kenan-Flagler Business School. They will need to be a little bit more certain that this is actually a bottom before they actually proceed. The survey, conducted between April 22 and May 5, included responses from 995 CPAs. Fifty-nine percent were CFOs, 30% were controllers, and 4% were CEOs or COOs. Sixty-five percent of respondents work for privately owned entities, 14% for public companies, 12% for government, education and associations, and 6% for foreign-owned companies. …
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 | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,004 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 ».