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
A good deal of the impetus for writing this book is connected to the conversations that happened between myself and many others who are often connected to the scholarly meetings that I attended between 2011 and 2018.Many of these conversations, especially in the case of people affiliated with cultural studies, were based on reimagining, rethinking, and disrupting the link between culture and discourse (or rhetoric and communication) when thinking about resistance.My intervention is to think about the connection between culture and protest tactics.Although none of the people mentioned in these acknowledgments bear any responsibility for the limitations of this book, I owe a debt of gratitude, in some cases deep, to the following people and organizations for the following reasons.To begin, fragments of Culture and Tactics were presented at several academic meetings.Principle among these was the Union for Democratic Communications (UDC).My work found its home here and also with some of the Gramsciani from the United States, Canada, the United Kingdom, and Brazil who organized and participated in panels and special seminars at the National Communication Association (NCA), the Cultural Studies Association (CSA), Rethinking Marxism, and the American Association of Geographers Socialist and Critical Geography Knowledge Community or Socialist Geographers Circle, and the International Social Theory Consortium.At the NCA and in the Union for Democratic Communications, I wish to thank the following people.First, I want to thank the organizers of Revolutionary Voices: Marxism,
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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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