The Flagstone V.8:No.6 [November 2003]
Bibliographic record
Abstract
A regional library branch for Denman Island? / Betty-Ann Grodecki -- Denman Island Residents Association (DIRA) meeting October 20, 2003 / Boyd McKean -- Denman Island weather retrospective for Summer (July, August and September) 2003 / Graham Brazier -- Gulf Islands water poster / Ted Truerman -- Small talk -- Profile of the month: Jim McConkey / Cindy Critchley -- Fire safety awards presentation / Cindy Critchley -- Heron rescue / Peter Karsten -- Mark your calendar: Christmas Faire / Juan Barker -- A garden to remember / Claire King -- Gourmet by Sally Rae: decadent desserts / Sally Dyck -- On the move / Jim Kirk -- Library news -- Book review: Vancouver, city on the edge / Wendy Reimer -- Wednesday walkers / Cindy Critchley -- Taking the tiger by the tail: clearing clutter for a better life / Gisele Charlebois -- A blessing and a mystery / Rients Vangoudever -- Axis Mundi: the story of the witches / Fireweed -- Why wear a poppy -- Naughty or nice for Xmas, Denman firefighters do it all in the perfect Xmas gift for that hard to shop for person on your list / 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 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.375 | 0.304 |
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".