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 is the first issue of 2018 and all of us at the Community Development Journal would like to wish our readers a very peaceful 2018. Clearly, we are living at time of great political uncertainty and insecurity, and across the globe there are manifold reminders of the obduracy of oppression and injustice. But, as the content of this journal also illustrates, communities continue to fashion their own responses to their circumstances, often seeking to identify ways of living and being that might speak to the promise of equality, democracy and solidarity across difference. The articles in this issue reflect an impressive geographical spread, including Timor-Leste, Bangladesh, Nigeria, Korea, Scotland, India, Georgia, Canada and South Africa and thus enhance our understanding of the on-going social and political challenges facing each of those specific contexts. However, in their varying ways they also urge (and hopefully inspire) us to think critically about and beyond community development, its conceptual armoury, its practical achievements and its underlying purposes.
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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.023 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.013 |
| 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