Health Information & Community Outreach
Notice bibliographique
Résumé
While it is widely agreed that information literacy skills should be fostered in institutions of higher education, little is known about attempts to teach about information literacy outside of academia. Health information literacy, as defined by the Medical Library Association (http://www.mlanet.org/resources/healthlit/define.html) is “the set of abilities needed to: recognize a health information need; identify likely information sources and use them to retrieve relevant information; assess the quality of the information and its applicability to a specific situation; and analyze, understand, and the use information to make good health decisions.” Within the context of health information literacy, this presentation will focus on three different cases of community outreach: 1. Collaboration with researchers to train volunteers to deliver health information to oncology patients; 2. Collaboration with researchers to design an electronic repository of evidence-based stroke interventions and accompanying health information for the public; and 3. Collaboration with the University’s Mini-Med School to reach members of the community and to provide health information literacy support. \nThrough partnerships with researchers and staff from McGill University’s Faculty of Medicine (including the Schools of Nursing and Physical & Occupational Therapy), this librarian was able to reach three distinct groups in the community: patients diagnosed with cancer, stroke survivors and their families, and members of the general public interested in medicine and health. Strategies for outreach include: train-the-trainer workshops, assistance with critical appraisal of online health information, and selection and management of reliable and readable electronic health information resources. Issues important for consideration include administrative issues in partnering with faculty and staff, project management, literacy levels of community groups, and readability of health information.\nDuring this presentation, I will provide an introduction to the topic of health information literacy and its potential for community outreach. I will also describe the three separate projects, providing details of their planning, execution, reflections, and future directions. \nAcademic librarians play an important role in the transmission of information literacy theory and skills to students and faculty within the institution. Transferring this experience for the benefit of the wider community seems a logical progression and a worthwhile effort. By collaborating with faculty and staff to deliver health information literacy initiatives to the greater community, librarians have the opportunity to not only reach a broader group of users, but to foster partnerships with researchers in their own institution. The promotion of health information literacy through existing research and outreach programs is a potential source of increased visibility within and without the university.
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 | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,011 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,115 | 0,011 |
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 ».