Santa Clara University's New ISP: Indispensible Services Provided by the Harrington Learning Commons, Sobrato Technology Center and Orradre Library
Notice bibliographique
Résumé
Santa Clara University is the oldest institution of higher education in the state of California. Founded as a Catholic, Jesuit university in 1851, there are currently over 8,000 students enrolled in undergraduate, graduate and professional schools of business, law, engineering, pastoral ministries, and counseling psychology and education. The University Library, Information Technology and Media Services are grouped together in the umbrella administrative unit, Information Services, reporting to Vice Provost/CIO Ron Danielson. The nearly one hundred staff in Information Services are physically dispersed around campus in seven different locations including multiple services points. An older library was demolished in 2006 and a new $95 million dollar Learning Commons, Technology Center and Library will open in the Spring Quarter 2008. When the new building opens, all Information Services staff will be co-located, for the first time ever, under the same roof. This co-location presents many opportunities for the possible integration of services to students, faculty and staff members on campus. An Organizational Consulting Project was proposed and approved to better understand the collaborative opportunities afforded by this new building and collocation of staff. The major components of the consulting project are a literature review, a survey to Information Services staff, an external survey which was posted on the Information Commons listserv, recommendations and an annotated bibliography. The literature review highlights the best practices associated with successful mergers of Library, IT and Media Services staff to provide enhanced services to students and faculty. Frequently, these mergers result from the creation of an "Information Commons" or "Learning Commons" within an academic library setting. The services provided through an Information Commons include access to both reference and computer technology support services, high-end computer workstations loaded with productivity software, assistance with multimedia software, and the availability of a full range of scholarly research materials anytime and anywhere. Staff providing these services need thorough and ongoing training in the full range of activities they will be called upon to perform. Special care must be taken to understand the cultural differences that can divide library and IT staff which might include unique or, at least, distinct jargon, professional status, certifications, education and temperament. The Myers-Briggs Type Indicator is mentioned frequently in the literature as a means to help understand and work better with others. The leadership of a merged organization is critical and a chief information officer must possess solid political and managerial skills to help bridge differences. Mergers usually don't save money. As one chief information officer observed, "How can you save money by combining the old 'bottomless pit' [the library] with the new 'black hole' [the computer center]?" The literature review also provides an examination of the success factors with distinguish established and thriving collaborations as well as the range of staffing models that are often employed.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,007 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,094 | 0,013 |
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 source (Gemma direct ou Codex distillé), 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 ».