The Flagstone V.8:No.8 [February 2004]
Bibliographic record
Abstract
Disaster at Komas Bluffs / Des Kennedy and Harlene Holm -- January DIRA report / Kathy Rieder -- Do you know where your dog is now / Cindy Critchley -- The ten most commonly asked questions of Triple Rock Road co-housing members -- Small talk -- Profile of the month: Randy Duncan / Cindy Critchley -- Letters and commentary -- Two weather retrospectives: November 2003 and Denman Island weather summary 1993 to 2003 / Graham Brazier -- Star wars: National Missile Defense / Guy Marion -- Chill hill spills drill: Dental Bus / Peter Walford -- Harvesting oysters and clams / Pat McLaughlin -- Peace on earth / Bo Filter -- Noir / Bill Engleson -- Windsor chairs / David Scruton -- Gourmet by Sally Rae: table for two / Sally Dyck -- Do we need a branch of the Vancouver Island Regional Library on Denman / Jane Guest -- Confronted by rainbows / Diane Davis -- Concerts Denman: expect the unexpected / Ruth Terry -- Old Tyme Christmas dinner / Mike and Diana Comeau -- The gift / Paul LeBaron -- Book review: Five quarters of the orange, by Joanne Harris / Jimmy Tait -- Attention knitters / Penny Burd -- Alpha Yaya Diallo and his Afro-funk band Bafing will be performing -- 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 | 0.007 |
| 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 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.021 | 0.011 |
| Insufficient payload (model declined to judge) | 0.108 | 0.039 |
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".