Notice bibliographique
Résumé
[ILLUSTRATION OMITTED] Heightened optimism among CPA financial executives seems to indicate the worst of the recession is in the past, but the consensus is growing that the U.S. economy is still a ways off from achieving a full recovery While optimism about the economy continued to improve and spread across most industries in the third quarter, the percentage of executives who don't see a recovery beginning until at least the second half of 2010 increased substantially (27% vs. 43%) from the previous quarter. When asked about the economic outlook for their own organizations, optimists outnumbered pessimists for the first time since the third quarter of 2008, according to results from the AICPA/UNC Kenan-Flagler Business School Business & Industry Economic Outlook Survey Q3 2009. About 38% of respondents were optimistic or very optimistic about the economic prospects for their organization over the next 12 months, while 29% were very pessimistic or pessimistic. Thirty-three percent were neutral. Respondents also were more optimistic about their own organizations than about the U.S. economy as a whole (38% vs. 26%), continuing the trend seen over the past two years. Although optimism was more widespread than in previous surveys, it was not evenly distributed across all industries. Respondents from professional services and technology organizations see a brighter outlook for the upcoming year, with 49% and 61%, respectively, reporting they're optimistic, compared with their colleagues in real estate and construction, who were 29% and 28% optimistic, respectively. We saw very substantial optimism in technology, but even more so, and we saw professional services also being really quite optimistic. But the degree of optimism extended all the way down into retail, wholesale and manufacturing to some extent, and so it seemed as though the green shoots were spreading across a wide range of industries, said Mark H. Lang, CPA, a Kenan-Flagler accounting professor. Executives continued to push back the projected timing for improvements in their own organizations. Twenty-four percent of respondents said they expect the prospects for their organizations to improve in the first half of 2010 (down from 27% in the second quarter), 23% in the second half of 2010 (up from 18% in the second quarter) and 14% in 2011 or beyond (up from 8% in the second quarter). Layoffs, however, were third on the list of actions implemented in response to the crisis. …
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 | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,012 |
| Science ouverte | 0,003 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».