Typology of Librarian Status Created for U.S. Land Grant Universities is Applicable to U.S. Research Libraries
Notice bibliographique
Résumé
Bolin, Mary K. “Librarian Status at U.S. Research Universities: Extending the Typology.” Journal of Academic Librarianship 34.5 (August 2008): 416-24.
 
 Objective – To describe and categorize the status of librarians at 119 American research libraries using a typology of librarian status first developed for 50 U.S. land grant universities.
 
 Design – Survey.
 
 Setting – U.S. research universities.
 
 Subjects – 119 American research universities. Included are those universities whose library is a member of the Association of Research Libraries (ARL), in addition to land grant universities who are not also ARL members, and any flagship state universities who are neither ARL nor land grant universities. All subjects are classified as either “research – very high” or “research – high” in the Carnegie Classification of Institutions of Higher Education. The 119 institutions represent a total census of the selected population.
 
 Methods – The websites of the 119 institutions were surveyed and data on institutional characteristics such as governance, size and geography collected. Additionally, data describing librarian status characteristics such as administrator title, rank systems and tenure status was gathered from sources such as promotion and tenure documentation, faculty handbooks, and policy manuals available on websites. Data was compiled on a spreadsheet and imported into SPSS which was used to create frequencies and cross tabulations. Data was categorised and cross-tabulated using a typology of status originally applied to 50 land grant universities in a previous study. The typology comprises four possible status types for librarians: 
 
 Type 1 – Faculty: Professorial ranks.
 Type 2 – Faculty: Other ranks with tenure.
 Type 3 – Faculty: Other ranks without tenure.
 Type 4 – Non-faculty: Professional or academic staff.
 
 Main Results – In the 119 institutions surveyed, librarians held faculty status at 74 (62%) institutions, of which 63 (51%) provided tenure track positions. At the remaining 45 (38%) institutions, librarians were considered non-faculty. 
 
 Of the 50 “land grant” institutions in the population, 40 (80%) had librarians with faculty status and 35 (70%) provided tenure track. Ten universities (20%) considered librarians non-faculty. 
 
 Of the 97 ARL libraries in the population, 55 (57%) had librarians with faculty status and 44 (45%) provided tenure track. Non-faculty librarians were found at 42 (43%) of these institutions.
 
 Of the 90 public institutions in the population, 68 (76%) had librarians who were faculty, 57 (64%) provided tenure track, and 22 (24%) had non-faculty librarians. 
 
 Among the 29 private institutions the status ratios were reversed with only 4 (13%) institutions having librarians ranked as tenure track faculty (type 1 or type 2) and 23 (80%) having non-faculty librarians.
 
 In the total population (119) type 3 “Faculty: Other ranks without tenure” was the least common category, 48% (57) of libraries were headed by a dean, 67% (80) of institutions had librarian representation on faculty senate and as the size of an institution increased the likelihood of librarians having faculty rank decreased. “Dean” was the most popular administrator title in the population; it correlated with professorial rank and was strongly associated with tenure. Having tenure was, in turn, strongly associated with faculty senate representation. In the Northeast census region type 4, non-faculty staff predominated while type 1 was rare; in the Midwest there was an almost even split between type 1 and type 4; in the South there was a fairly even spread across all four types, and in the West a fairly even spread across types 1, 2 and 4.
 
 Finally, the data showed that as the size of an institution increased, the likelihood of librarians having faculty rank decreased.
 
 Conclusion – The typology created for land grant universities can be extended and applied to a wider population. It is valid and reliable both for organizing information about librarian status and for comparing institutions and population segments.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,526 |
| 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 ».