The Use of Technology in the ‘Third Age’: Findings from the Effects of Digital Technology on Seniors (EDITS) Project
Bibliographic record
Abstract
Twenty-one seniors (aged 60+) were interviewedabout their use of digital technology. Grounded theoryand Key Point analysis were used to identify severalareas where these tools have become embedded intothe lives of seniors. These include informationseeking, news media, library usage, and readingpreferences.Vingt et un aînés (âgés de 60 ans et plus) ont étéinterrogés sur leur utilisation des technologiesnumériques. Nous avons utilisé la théorie ancréedans les données empiriques et l’analyse de point clépour identifier plusieurs domaines dans lesquels cesoutils se sont intégrés dans la vie des aînés. Ceux-cicomprennent la recherche d’information, lesnouvelles, l’utilisation de la bibliothèque et lespréférences de lecture.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".