Knowledge mobilization expands and informs Oblate Lands public. A report on the Deep Green Experts Forum
Bibliographic record
Abstract
This past Saturday, March 22, the Deep Green Experts Forum on the Oblate Lands development was held with great success.Despite heavy snowfall, Carleton University's River Building spacious conference room was packed with an audience that listened to various expert panelists address sustainability options for the future development of the Oblate properties, along which runs the Rideau River.Thanks to the efforts of Sustainable Living Ottawa East (SLOE) and its Experts Forum, there is now much greater public awareness about the sustainability challenges and opportunities that await the future development of this ecologically sensitive 12-hectare area.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.036 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".