A Digital Library to Serve a Region: The Bioregion and First Nations Collections of the Southern Oregon Digital Archives
Notice bibliographique
Résumé
The Southern Oregon Digital Archives (http://soda. sou.edu) provides a wealth of research materials on the regional ecology and indigenous peoples of southwestern Oregon and northwestern California. Funded by a grant from the Institute of Museum and Library Services (IMLS), this digital library contains more than fifteen hundred fully searchable documents, books, and articles, and forms two related collections: the Bioregion Collection and the First Nations Collection. The creation of the Southern Oregon Digital Archives at Harmon Library illustrates that smaller libraries can create astonishingly significant digital collections. A key component can be the careful establishment of collaboration and cooperative relationships, such as those developed by Hannon Library of Southern Oregon University (SOU) with local branches of federal and state agencies and with tribes. The associations created by patient communication played a vital role in the successful outcome of this project. Background The Siskiyou-Klamath-Cascade bioregion of southwestern Oregon and northwestern California is composed of old and geologically complex mountain systems. It bridges the Cascade-Sierra mountain ranges and the Pacific Ocean east to west, and the Oregon and California Coast ranges north to south. This magnificent region is recognized by scientists around the world as an area uniquely rich in plant and animal species, unmatched in biological diversity provided by the area's distinctive geology, climate, and topography. Southern Oregon University, located in Ashland, Oregon, twenty miles from the California border, is the only regional university between Eugene, Oregon, and Chico, California, and strives to meet the diverse needs of constituencies in this multicounty region. Hannon Library has, for more than forty years, placed a special emphasis on collecting and providing access to materials relating to the Siskiyou-Klamath-Cascade bioregion and its indigenous peoples. As a government depository for the 2nd Congressional District, Hannon Library has a strong collection of federal and state government publications on the biology, botany, animal life, watershed and riparian zones, forests, timber management, and geology of this region. Hannon Library also has extremely strong collections relating to American Indians that support the Native American minor and certificate program at the University. In late fall 2000, Hannon Library presented a preliminary proposal to the Oregon University System to develop a digital archive of documents on the peoples and ecology of the Siskiyou-Klamath-Cascade region that would serve the scientific, environmental, educational, tribal, and business communities regionally, nationally, and internationally. Through the efforts of Congressman Greg Walden (OR), Hannon Library received a congressionally directed National Leadership grant from IMLS to create the Southern Oregon Digital Archives. Our vision from the beginning was to create a digital collection with full-text searching capability across all documents so that users could search for a specific species name, native language word, or personal name in one step. Our vendor, PTFS Digital Archiving Solutions (www.ptfs.com), worked with us to create a user-friendly, but powerful and sophisticated query interface that allows users to search for terms within all documents in one search and to quickly load images of entire documents, which range from a few to several hundred pages, in PDF format. All documents have undergone the OCR (optical character recognition) process, which allows for full-text keyword searching. The search interface also offers author, title, and LCSH access as well as author and title browsing capability. The SODA site also includes links for help and information about the project and collections. The project developed over three and one half years with the cooperation of and in collaboration with government agencies, private researchers, and tribes. …
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 | 0,002 |
| 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 | 0,005 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,083 | 0,024 |
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 ».