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
In 2001, the UK was hit by Foot and Mouth Disease (FMD) precipitating one of the biggest crises ever to affect the UK farming system. The crisis unfolded as a series of information and communication problems, from government to farmers and from farmers to farmers, with consequences for action in a time of crisis, social support, and the maintenance of community. What happens to a farming community during such a crisis? When the countryside shuts down, and no one can enter or leave the farm, how can information be disseminated? As methods of dealing with the disease change rapidly, as happened in this crisis, how can information be delivered in a timely and coordinated manner? To explore these questions, data have been gathered from reports and writing about the crisis, and from interviews with Cumbrian farmers. Although we will address throughout the multiple information channels used by farmers, this paper focuses on the role of information and communication technologies (ICTs) during the crisis, notably a community networking initiative known as Pentalk. We conclude with a look at the current role of Pentalk in the farming community, and with discussion of how networks such as these can help during crises involving major information and communication management.
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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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