The Flagstone V.12:No.6 [October 2007]
Bibliographic record
Abstract
Summer soccer showdown / Daniel Terry -- DIRA diary: an unreasonable facsimile / Bill Engleson -- DIRCS Community Hall report / Boyd MacKean -- Denman Island Arts Centre news / Cynthia Minden -- Denman Islander goes to 4H Provincials / Braeden Fairbairn -- Profile of the month: David Graham / Cindy Critchley -- Letters and commentary -- The swashbuckler and the double-barreled nerd / Graham Brazier -- What is mail art? What are artist trading cards? / Bronwyn Simons -- Concerts Denman / Sara French -- Something for nothing (Shellfish) / Andrew Scruton -- Confessions of a gentrified soul, part 20: committees, love or lust? / Bill Engleson -- Rural myth or reality / Harlene Holm -- World Music Film Festival / Ron Sakolsky -- Animals, culture and the law / Fireweed -- Ride for Canadian Cancer Society / Sonya Edelston -- When is a scallop not a scallop / Edi Johnston -- Gourmet by Sally Rae: Halloween horror from the kitchen / Sally Dyck -- The problem with carbon offsets / Susan-Marie Yoshihara -- Denman Island weather retrospective for August 2007 / Keith Walker -- Cabaret Noir Day of the Dead Festival / Cathy Stoyko -- Bird notes / Patrick Fawkes -- Ferry fares to increase more than 30% over current rates / Ferry Advisory Committee -- 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.015 | 0.012 |
| Insufficient payload (model declined to judge) | 0.089 | 0.030 |
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".