Making visible the literacy practices of elders through the<i>day in the life</i>methodology: considerations for literacy education across the lifespan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This pilot study uses ‘ day in the life ' methodology to observe the everyday literacy practices of a self‐identified thriving elder. Through the case of one nonagenarian female residing in an assisted living community in the United States, we identified the multimodal, posthuman nature of this elder's literacies, exploring how they were connected to a sense of well‐being and the types of literacies that remain relevant across the lifespan. We further consider what the insights gained from such a study might teach about literacy education more generally. We advocate for education that keeps open people's literacy options across the lifespan through acknowledging and cultivating the myriad interrelated constituents of literacies, including the physical, social and political.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it