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
Much of framing scholarship focuses either exclusively on the analysis of words or of visuals. This book aims to address this gap by proposing a six-step approach to the analysis of verbal frames, visual frames and the interplay between them—an integrative framing analysis. This approach is then demonstrated through a study investigating the way words and visuals are used to frame people living with HIV/AIDS in various communication contexts: the news, public service announcements and special interest publications. This application of integrative framing analysis reveals differences between verbal frames and visual frames in the same messages, underscoring the importance of looking at these frames together.
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 | 0.045 | 0.020 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.033 | 0.019 |
| Science and technology studies | 0.022 | 0.027 |
| Scholarly communication | 0.078 | 0.128 |
| Open science | 0.074 | 0.060 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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