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
This book examines changes in families’ rules and routines connected with media during the pandemic and shifts in parents’ understanding of children’s media use. Drawing on interviews with 130 parents at the height of the COVID-19 pandemic, the book explores specific cultural contexts across seven countries: Australia, Canada, China, Colombia, South Korea, United Kingdom, and United States. Readers will gain an understanding of family media practices during the pandemic and how they were influenced by contextual factors such as the pandemic restrictions, family relationships and situations, socioeconomic statuses, cultural norms and values, and sociotechnical visions, among others. Further, encounter with theoretical framings will provide innovative ways to understand what it means for children, parents, and families to live in the digital age. This timely volume will offer key insights to researchers and graduate students studying in a variety of disciplines, including media and cultural studies, communication arts, education, childhood studies, and family studies. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution- Non Commercial- No Derivatives (CC- BY- NC- ND) 4.0 license.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.995 | 0.996 |
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