The Flagstone V.24:No.2 [February 2019]
Bibliographic record
Abstract
Indian Horse showing on Denman Island -- Denman Island's Garden club proudly presents Sheila Horner talking about caring for pollinators in your garden -- We want your input 2019/20 Islands Trust budget -- Islands Trust trustee notebook: what's new in a new term / Laura Busheikin -- Blackberry Lane Children's Centre expansion plans / Lindsay McGinn -- 2019 Denman Island Telephone Directory -- According to Doug: neo liberal economics / Doug Carrick -- Sprang an ancient method for making cloth / Carol James -- PulsePoint apps saves lives / Edi Johnston -- Readers and Writers Festival 2019 review -- Book review: Altogether healthy, a Canadian wellness revolution, by Andrew McLeod / David Scruton -- An invitation from Sandra Martindal -- Denman Community Land Trust Association affordable housing project -- In 200 words or less: a valentines smile, dental coverage / Bill Engleson -- Winter is the time for learning / Emily Guinane -- Denman community programs February highlights -- This place: daylight and warmth by the numbers / Graham Brazier -- Discovering Hilda Lacon / Peter Arnold -- Plastic resolutions 2019 / Cynthia Minden -- Concerts Denman presents DUO: Fortin and Poirier, classical piano repertoire for four hands -- Cold and damp, weirded out in Oklahoma and the south / Howard Stewart -- Obituary notice for Michael Laurie Comeau -- In Memoriam Jedd Sullivan May 25 1955 to January 5 2019 -- Funding Opportunity 2019 Community Project Grants -- 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.111 | 0.031 |
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".