The Flagstone V.21:No.9 [September 2016]
Bibliographic record
Abstract
Come join us for the 37th annual Blackberry Run and Walk -- The Big picture: killer whales, chinook salmon, Pacific sand lance -- Islands Trust trustee notebook: what makes Denman special / Laura Busheikin -- DIRCS report / Suzette Cullen -- Denman Works! Open house: marking five years and looking to the future -- According to Doug: the control of communications / Doug Carrick -- Denman Community Land Trust Association is sponsoring the fifth annual phantom ball -- Letters -- Denman Island Readers and Writers Festival -- Plum loco for homemade jam / Stephanie Slater -- Cod cheeks and fried baloney / Hillel Wright -- Arts Denman news -- Sustainable energy: update on Community Hall solar panels / Satya Bellerose -- In 200 words or less: vegetarianism / Bill Engleson -- News from the Hornby and Denman Health Care Society / Lori Nawrot -- Minding the gulf: back to school -- Islands Better at Home helping Island seniors remain independent -- Win the wood: win a pallet of wood briquettes and support seniors -- Agriculture matters / Max Rogers -- Challenge 2016 / Ron Wilson -- This place: camping on Denman Island / Graham Brazier -- There's an app for that: mental health / Meredith McEvoy -- Standards and guidelines for composting toilets and greywater / Ed Hoeppner -- Canadian Biochar Initiative / Rick Balfour -- Community announcements
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.130 | 0.069 |
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".