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
An approach to literacy that understands it as lived and experienced in the everyday across varied spaces and populations.This book approaches literacy as lived and experienced in the everyday. A living literacies approach draws not only on such official, schooled activities as reading, writing, speaking, and listening but also on such routine, tacit activities as scrolling through Instagram, watching news footage, and listening to music. It goes beyond well-worn framings of literacy as an object of study to reimagine literacy as constantly in motion, vital, and dynamic, filled with affective intensities.A lived literacies approach implies a turn to activism, to hopeful practice, and to creativity. The authors examine literacies through a series of active verbs: seeing, disrupting, hoping, knowing, creating, and making. Case studies—ranging from an exploration of photography as a way to shift perspectives to a project in which adults teach young people how to fish—show lived literacies in both theory and practice. With these chapters, the authors position literacy differently. They make it possible to see literacy in everyday activities, woven into the modes of seeing and knowing. By disruption and activism, literacy can encompass a wide array of practices—exchanging information at a school gate or making a collage. Grounding theory in the sites and spaces of their research, working with artists, photographers, poets, and makers, the authors issue a call to action for literacy education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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