The Flagstone V.25:No.5 [May 2020]
Bibliographic record
Abstract
And the winner of connecting without touching is Jayne Fogarty -- Farmers Market 2020 / Veronica Timmons -- Islands Trust trustee notebook: Islands Trust responding to Covid-19 / Laura Busheikin -- Gracias, danke, mere!, xie xie, takk, efkharisto / DCLTA Board -- According to Doug: how democratic is Canada / Doug Carrick -- Denman Hornby birdathon 2020 / Ken Madsen -- Birdathon art opportunities galore / Wendy Boothroyd -- Denman Island COVID-19 Response Network (aka DIRCON) launches -- Denman Island Readers and Writers Festival -- Book review: Translations from the gibberish, Seven stories and one half-truth, by Anosh Irani / Danni Crenna -- Readers and Writers Festival another victim of the virus / Stewart Goodings -- DICES update / Emily Guinane -- Caring for community -- Food security -- Connectivity -- Access to amenities -- Access to financial support -- Eyes and ears wanted for Neighbourhood Emergency Preparedness / Edi Johnston -- Living with hope in a time of Covid-19 and climate change / Ron Wilson -- In 200 words or less: covid-19 incarceration / Bill Engleson -- Bats and covid-19 -- Raindance on Denman or not / Kris Christensen -- Gordon Detwiller 1944-2020 / Barbara Mullin -- The simple life essay eight Croatia / Maxine Rogers -- This place: what is a humdergon / John Millen -- 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 | 0.008 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.016 | 0.011 |
| Insufficient payload (model declined to judge) | 0.106 | 0.047 |
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".