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
Contents: Theory And Basis For Community Indicators: Understanding indicators, Heidi Hoernig and Mark Seasons Historical background of community indicators, Clifford Cobb and Craig Rixford. Relating Community Indicators To Planning And Development: The sustainable Calgary story: a local response to a global challenge, Noel Keough Indicators and core area planning: applications in Canada's mid-sized cities, Mark Seasons Integrating community indicators with economic development planning, Rhonda Phillips and Susan Bridges. Technological Dimensions: Community statistical systems: discussion of development and data issues, Naomi Oliver, Christiana Schumann and Marc T. Smith Role of multi-scalar GIS-based indicators studies in formulating neighbourhood planning policy, Rina Ghose and William Huxhold Where do we want to be? Making sustainability indicators integrated, dynamic and participatory, Jeff Carmichael, Sonia Talwar, James Tansey and John Robinson Subject index.
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 | 0.001 | 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