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Record W6964410149 · doi:10.25316/ir-18912

The Flagstone V.23:No.12 [December 2018]

2018· other· en· W6964410149 on OpenAlexaboutno aff

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2018
Typeother
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCraftAdventurePopulationGeorge (robot)GuitarThe artsJuryPerformance art

Abstract

fetched live from OpenAlex

Craft fair kids grow up / Laura Busheikin -- The mummers are coming / Bryce Scully -- Save the date Olde Tyme Christmas Dinner Party Sunday, December 16 -- Islands Trust trustee notebook: making change happen, choose your own adventure / Laura Busheikin -- Winter solstice vegan potluck Friday Dec. 21 / Fireweed -- According to Doug: Canada's dirty oil / Doug Carrick -- Moonlight madness December 14 -- Friday, December 7 Cheeky Bunny (Bethany Ireland, Ray Ulovec & Steve Ireland) will try out new tunes among our other 14 original rock compositions -- Letters -- Readers and Writers Festival line-up and first reviews -- Wisdom in nonsense - invaluable lessons from my father (non fiction) and The lonely hearts hotel (fiction), by Heather O'Neill / Annette Reinhart -- Arts Denman membership drive at the Christmas craft fair / Christine Stewart -- Handspinning workshops / Paddy O'Connell -- Pesticide free committee: a Christmas present / Maxine Rogers -- Christmas hamper program 2018 -- This place: Denman population / Graham Brazier -- In 200 words or less: post office / Bill Engleson -- Solar collectors stand the test of time / Max Rogers and Robert Fox -- Our eco-crisis / Esther Muirhead -- An Abraxas seasonal update / Max Rogers -- Shepherd's Pie, the last of Readers and Writers Festival 2018 local offerings / Lucy Dabbs -- Deep in the heart of Texas / 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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.919
Threshold uncertainty score0.794

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.2370.148

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.

Opus teacher head0.006
GPT teacher head0.188
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueVIURRSpace (Vancouver Island University)→Same topicPeatlands and Wetlands Ecology→French-language works237,207→