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Record W1655446317

Issues in Canadian Geoscience. The Canadian Federation of Earth Sciences / Fédération Canadienne des Sciences de la Terre: 2008 Highlights

2009· article· en· W1655446317 on OpenAlexvenueaboutno aff
Elisabeth C. Kosters

Bibliographic record

VenueGeoscience Canada · 2009
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLibrary scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Geoscience Council (CGC) was reorganized into the Canadian Federation of Earth Sciences/ Federation Canadienne des Sciences de la Terre (CFES/FCST) in the fall of 2006. This article highlights the activities of the new organization in 2008, the first year that real progress and renewal could be demonstrated. The organization aims to be the unified voice of earth science in Canada, using a multi-pronged approach along three lines: defragmentation of the Earth Science sector, outreach (to K-12 and the general public) and lobbying (to decision makers). We also published a Human Resources snapshot of our sector and are making progress toward creating one Canadian Geoscience Literature database. SOMMAIRE La Federation canadienne des sciences de la Terre (FCST), jadis le Canadian Geoscience Council en anglais a ete reorganise a l’automne 2006 et se presente dorenavant sous les appellations de Canadian Federation of Earth Sciences / Federation canadienne des Sciences de la Terre (CFES/FCST). L’article qui suit souligne les principales activites du nouvel organisme en 2008, une premiere annee de veritable progres et de renouvellement de la participation. Cet organisme entend etre « la » voix des geosciences au Canada en concentrant ses efforts en trois directions, soit : la defragmentation du secteur sciences de la Terre, la sensibilisation (niveau fin secondaire et grand public), le lobbyism (influence aupres des instances decisionnelles). Nous avons aussi publie un instantane des ressources humaines du secteur et progressons dans l’etablissement d’une base de donnees de la litterature geoscientifique canadienne.

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)0.007
metaresearch head score (Gemma)0.016
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: Empirical · Consensus signal: none
Teacher disagreement score0.839
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.032
Science and technology studies0.0190.008
Scholarly communication0.0180.007
Open science0.0040.004
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0220.003

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 head0.017
GPT teacher head0.243
Teacher spread0.226 · 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
GenreEmpirical

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
Published2009
Admission routes2
Has abstractyes

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