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Record W1501087725

The Waterloo Earth Sciences Museum

2009· article· en· W1501087725 on OpenAlexaffvenueabout
Peter I. Russell, John E. Motz

Bibliographic record

VenueGeoscience Canada · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCentennialExhibitionOutreachLibrary scienceHumanitiesPolitical scienceArtGeographyArchaeologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

The University of Waterloo’s Earth Sciences Museum was started as a Canadian centennial project and has been part of the Department of Earth and Environmental Sciences outreach program for over 40 years. Museum initiatives include lectures; hands-on geological activities such as gold panning; construction of a rock garden; production of geology-themed books for children and adults; podcasts; and participation in gem shows, groundwater festivals and other public events. The museum benefits from public and private funding and the donation of specimens. Volunteers and co-op students allow it to function with a minimum of staff. It provides examples of the types of programs to increase public geological knowledge and understanding that can be offered by even a modest museum. SOMMAIRE Le Musee des Sciences de la Terre a l’Universite de Waterloo etait un porjet du centennaire duCanada, et depuis a fait parti d’un programme de communication du Departement des Sciences de la Terre. Les initiatives incluent des conferences; des activities geologiques, comme le lavage de gravier pour separer de l’or; le developpement d’un jardin de rocaille; la production de livres a themes geologiques pour enfants et adultes; des programmes pour iPod; et la participation a des exhibitions de pierres precieuses, des festivals de l’eau souterraine et auters activites publiques. Le musee jouit de financement publique et prive, et de dons specimens. Des benevoles et des etudiants permettent le fonetionnement avec le minimum d’employes. Ceci offert des exemples de programmes pour ameliorer les connaissances st la comprehension de la geologie pour le grand publique qu’un musee de taille modeste peut amener.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.185
Teacher spread0.172 · 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.

Study designObservational
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 routes3
Has abstractyes

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