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Record W1531828911

Geological Survey of Canada response to the Summary Report of the Review Committee on GSC'S Minerals Geoscience Program

2000· article· en· W1531828911 on OpenAlexaffvenueabout
Murray Duke

Bibliographic record

VenueGeoscience Canada · 2000
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsPolitical scienceLibrary scienceEuropean commissionHumanitiesComputer scienceBusinessEuropean unionPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The Geological Survey of Canada accepts most of the Canadian Geoscience Council Review Committee's recommendations and is already acting on some of them. Integration of mapping and metallogenic activities should be facilitated by the new Project Approval System, which will help achieve the cultural change called for by the Committee. We agree that there is a need to recruit new young scientists, and that digital data bases need to be made available, and we are active in both areas. Increased funding for minerals research is being sought; some new funds have been attained for the 2000-2003 period. The GSC is grateful for the useful insights and recommendations provided by the Review Committee. Resume La Commission geologique du Canada approuve la plupart des recommandations du Comite de revision et a deja pris des mesures a l'egard de certaines d'entre-elles. Ainsi, le nouveau systeme d'approbation des propositions de projets devrait-il faciliter l'integration des activites dans les domaines de la cartographie et de la metallogenie, favorisant ainsi le changement de culture administrative souhaite par le Comite. Nous convenons qu'il est necessaire de recruter de jeunes scientifiques, que des bases de donnees numeriques doivent etre disponibles, et nous y travaillons. Nous explorons diverses possibilites d'accroitre nos budgets de recherches minerales; de nouveaux modes de financement sont deja en place pour la periode 2000 a 2003. La CGC est remercie le Comite de revision pour les idees nouvelles et ses recommandations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.242
Teacher spread0.222 · 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 teacher head, 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
Published2000
Admission routes3
Has abstractyes

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