The Flagstone V.24:No.8 [August 2019]
Bibliographic record
Abstract
Blackberry Fair on Sunday September 1 / Max Rogers -- Denman Summer Gallery continues / Trish Suess -- Anima-L new sculpture and mixed media by Cynthia Minden -- Islands Trust trustee notebook: Denman's forests climate superstars / Laura Busheikin -- Blackberry Faire 2019 / Suzette Cullen -- According to Doug: the failure of Canadian newspapers / Doug Carrick -- Food security update at the Denman Community School / Kate Janeway -- In homage to Johnny Clegg South African musical legend and anti-apartheid activist, 1953-2019 these poems were inspired by the titles of three of Clegg's iconic songs / Stewart Goodings -- Sheep to shawl at the Blackberry Faire / Isabelle Fusey -- In 200 words or less: pancake breakfast / Bill Engleson -- Introducing friends and neighbours for a second time: natural burial / Louise Bell -- Nectar for hummingbirds / Denman Hardware -- News from the Hornby and Denman Community Health Care Society: 40th anniversary celebration and AGM -- Denman Island Studio Tour great big thank you / Shari Dunnet -- Looking back on another festival / Stewart Goodings -- This place: Joseph Denman and justice on the West coast of Vancouver Island part 2 / John Millen -- Donkeys and art / Cynthia Minden -- A different kind of south in Georgia and the Carolinas / Howard Stewart -- 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.103 | 0.028 |
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".