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Record W77819113 · doi:10.1155/2007/426373

Times have Changed – Is it Time to Consider Restructuring the CAG?

2007· article· en· W77819113 on OpenAlexaffvenueabout
William G. Paterson

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2007
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsCanadian Association of GastroenterologyQueen's University
Fundersnot available
KeywordsRestructuringManagementPolitical scienceProcess (computing)Public administrationLibrary scienceOperations researchLawEngineeringComputer scienceEconomics

Abstract

fetched live from OpenAlex

Following the 2005 annual general meeting of the Canadian Association of Gastroenterology (CAG) where certain proposals for CAG bylaw revisions were tabled, the CAG Board decided to create an ad hoc committee to take a more comprehensive look at restructuring the CAG management, which in turn would result in proposals for bylaw amendments. A committee consisting of William Paterson, Des Leddin, Ronald Bridges, Mary Perdue, John Wallace and Paul Sinclair was formed. This committee endorsed the need to make fundamental changes in the structure of the CAG management to streamline the operations of the organization and better achieve its strategic goals. It was further agreed that the process for implementing change must involve broad consultation with the CAG Board and the membership. The present document represents the first step in this consultative process.

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)0.026
metaresearch head score (Gemma)0.073
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.988
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.073
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0080.007
Scholarly communication0.0140.018
Open science0.0030.004
Research integrity0.0110.014
Insufficient payload (model declined to judge)0.0170.005

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 head0.126
GPT teacher head0.413
Teacher spread0.287 · 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
GenreCommentary

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

Citations1
Published2007
Admission routes3
Has abstractyes

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