The Flagstone V.9:No.8 [February 2005]
Bibliographic record
Abstract
APC: community service of a different sort / Louise Bell -- DIRCS Community Hall report for January 2005 / Boyd MacKean -- Slow Islands Movement: it's about time / Graham Brazier -- LCC working forum: Land and Community Coalition / Erin O'Brien and Sean Woods -- Small talk -- Profile of the month: Peter Karsten / Cindy Critchley -- Letters and commentary -- Paradise appreciated, reprinted from the Vancouver Sun / William Boei -- Is Denman Island in danger of becoming gentrified / Susan-Marie Yoshihara -- Becoming bionic, part 1 / Diana Comeau -- Surviving the tsunami / Jane Gragtmans and Jean Marc Mangin -- The Hermitage / Jane Fawkes -- Vegetarian potluck / Fireweed -- BC evacuation / Pat Young -- Gourmet by Sally Rae: chocolate, food of the gods / Sally Dyck -- Healing meditation / Elizabeth Bailey -- Poems for Valentine's Day -- Poem by Hafiz / The beauty that saves / Andrew Raven -- On the day Kennedy's head exploded / Bill Engleson -- Missile defence: sovereignty meltdown, reprinted from Common Ground magazine / Bo Filter -- Good news from the playground committee / Laura Busheikin -- A winter song / Kathy Rieder -- Community events listings
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.014 | 0.010 |
| Insufficient payload (model declined to judge) | 0.122 | 0.042 |
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".