Public Library-Led Digital Literacy Training to Older Adults in Social Housing
Bibliographic record
Abstract
This paper describes an in-progress two-cycled Action Research investigation of public library-led digital literacy training to older adults in social housing. Prior to the first cycle, the digital literacy needs and training preferences of CityHousing Hamilton (CHH) older adults were identified. These findings were then used to design and evaluate an Android tablet training program delivered by Hamilton Public Library (HPL) to CHH older adults onsite at their CHH place of residence (Cycle One). Findings from Cycle One were then used to design and implement another iteration of onsite HPL-led tablet training to CHH seniors (Cycle Two). Des formations de littératie numérique pour les personnes âgées vivant dans des logements sociaux dirigées par les bibliothèques publiques RésuméCet article décrit une enquête de recherche-action de deux cycles en cours portant sur les formations de littératie numérique données par les bibliothèques publiques pour les personnes âgées vivant dans des logements sociaux. Avant le premier cycle, les besoins en littératie numérique et les préférences de formation ont été identifiées auprès de personnes âgées du CityHousing Hamilton (CHH). Ces résultats ont ensuite été utilisés pour la conceptualisation et l'évaluation d'un programme de formation sur une tablette électronique Android mis en place par la bibliothèque publique d'Hamilton (HPL) pour les personnes âgées du CHH directement à leur endroit de résidence (Premier cycle). Les résultats du premier cycle ont ensuite été utilisés pour conceptualiser et mettre en place une autre itération des formations avec les tablettes électroniques pour les personnes âgées sur place au CHH par la HPL (Second cycle). Mots-clésLittératie numérique; Formation; Personnes âgées; Bibliothèques publiques; Logements sociaux
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".