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Record W4237380849 · doi:10.5623/cig2015-414

Welcome CIG New Members / Bienvenue aux nouveaux membres de l'ACSG 2015

2015· article· fr· W4237380849 on OpenAlexvenueno aff
Aux Bienvenue, Membres Nouveaux, John 's Bolli, St John's Cuff, St Andrew, Joseph John's English, Pearl Gullage, St Mardi, P. Honarvar, St John's Keough, St Karl, St John's King, St John's Lafferty, St Sahel, St John's Mahdianpari, Christina John's Pretty, St John's Ruttgaizer, St John's Salehi, St John's Storey, St John's Venovcevs, St Anatolijs, S.J. Walsh, Mount Pearl, Halifax Cunningham, Westphal Fougere, Wilmot Hill-Stosky, Middleton Long, Kingston Lu, Lawrencetown Thimot, S Adam, Hari Yeruva, Fredericton Lukas, John Møller Larsen, Éric Richard, M. Mason, F. Mayné, Fredericton Mclean, Fredericton Murray, Oromocto Craig, Fredericton Oluwatimilehin, Riley Smith, F H Turner, Fredericton Alexander, H. Jacob, Québec Kablan, Québec Dion, Verdun Georgi, Bakary Koné, Québec Laflamme, S. Hyde, Montréal Ouellet, Ottawa Regie, Miguel Valverde Alva, Richmond Burn, H. de Boer, Brampton Domney, Bay Todd, Caroline Erickson, Stittsville Fuss, Ingersoll Colleen, Ottawa Saeid, Mississauga Mohammad, London Tom, Lively David, Ottawa Peter, Ronald Mak, Guelph Mcmorran, D. Scott, Kanata Meyers, Guelph Pearson, Toronto Alexander, Eric Root, Shannon Daniel, H. W. Hills, Sik-On Leung, Sônia Elenita Lopes Valente, Alberta Allen, Calgary Mitchell, Mcmurray Bracken, Lethbridge Scaglione, Calgary Cassidy, British Cameron, Columbia, Victoria Colombie-Britannique Bremer, N. Ebert, S. L. Ong

Bibliographic record

VenueGEOMATICA · 2015
Typearticle
Languagefr
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.448
Threshold uncertainty score0.787

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.4480.180

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 head0.044
GPT teacher head0.315
Teacher spread0.271 · 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.

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
Published2015
Admission routes1
Has abstractno

Explore more

Same venueGEOMATICASame topicMedicine and Dermatology Studies HistoryFrench-language works237,207