Notice bibliographique
Résumé
15.1 full-time and 4.1 part-time faculty, 9.4 of whom are tenured 73 medical students, 12.2 graduate students, 7.5 postdoctoral fellows, and 4.5 administrative support staff 1.4 unfilled, full-time faculty positions salaries ranging from an average low of $37,764 for instructors to an average high of $122,375 for professors 41.8% of departmental income derived from extramural research institutional funding (2001–2002) of $1,443,143 11,870.4 sq. ft., excluding teaching space. Determine whether there are enough, too many, or too few future anatomists in the training pipeline to meet teaching needs in the coming years; Provide department chairs with benchmarking data to compare departmental funding, salaries, and infrastructure support with other schools in the United States and Canada; Provide information to assess graduate research and training programs in comparison with others. The impetus for this survey stemmed in part from reports that medical school administrators' plans for faculty hiring and curriculum changes are based on the supposition that too few anatomists are being trained to meet future teaching needs. A key goal of the survey was to gather the data to support or refute this assertion, which could then lead to the development of strategies for the future. The AAA's reading of the data from the 95 chairs who responded shows that we seem to be training enough anatomists to meet future teaching needs—but, for a variety of reasons, many of those who are trained do not subsequently teach. This issue was addressed in a February 2003 session at the AACBNC annual meeting and reported on in the March 2003 AAMC Reporter (reprinted in the AAA Newsletter, June 2003, page 5). The AAA is planning follow-up meetings this fall with other anatomy organizations. Because this was a first-time survey, we have no trends to report. The data can only be compared to what is “known” intuitively or found in other sources. Based on the feedback and interest of those who view the data, we expect to revise the survey as needed and repeat it periodically. Faculty Data Salary & Funding Data Infrastructure Training by Subject Teaching Gross Anatomy Verbatim Responses to questions such as: • You indicated that you anticipate great or moderate difficulty in finding people to teach Gross Anatomy. How do you plan to fill vacancies in this field? • What type of incentives does the institution provide for department faculty to augment their salaries from grant funds? To comment or request a more complete data compilation (available to members only), please send an E-mail to AAA at exec@anatomy.org.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».