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Record W1506372548

Geoheritage 4: Raising Public Awareness of Geological Heritage at L’Université du Québec à Chicoutimi

2009· article· fr· W1506372548 on OpenAlexaffvenueabout
L. Paul Bédard, Hugues Longuépée, Dany Savard

Bibliographic record

VenueGeoscience Canada · 2009
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicGeotourism and Geoheritage Conservation
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsAdventureHistorical geologyWorld heritageArchaeologyCultural heritagePromotion (chess)HumanitiesGeographyHistoryArtGeologyArt historyPolitical scienceTourismEarth sciencePolitics
DOInot available

Abstract

fetched live from OpenAlex

Promotion of geological heritage is achieved through programs that increase the public awareness of geological phenomena and to draw attention to the importance of minerals in everyday life. Activities at the Universite du Quebec a Chicoutimi (UQAC) are divided into two parts: conservation and popularization. At the UQAC Petit musee mineral exhibit, the minerals on display are predominantly from the province of Quebec, but samples from elsewhere in Canada and from the rest of the world are also presented to compare with Quebec’s geoheritage. More than a hundred samples from the Petit musee are described and photographically illustrated in a mineral identification guide (Bedard et al. 2008). Part of the collection can also be consulted on the web. The Petit musee is not simply a mineral collection. Elementary and secondary school groups routinely visit the museum in conjunction with science popularization activities. For younger students, a story has been developed to present, in a light-hearted manner, some information about minerals and their uses. This story is centred on a hero who has many adventures in which minerals provide solutions to a series of problems. Older students participate in laboratory experiments that include observation of melting a rock, tasting and measuring salts in water and playing with the concept of density. New exhibits presently being developed include a ‘lead pencil’ exhibit where the rich history of this common object is explored; another on mass extinctions presents the rich fossil heritage of Quebec. SOMMAIRE Une bonne mise en valeur du patrimoine geologique necessite une conscientisation de la population a la presence de phenomenes geologiques dans l’environnement immediat et a l’utilite des mineraux dans la vie de tous les jours. Les interventions se divisent en deux grands volets, soit la conservation et la popularisation. Au Petit musee de l’UQAC, des echantillons mineralogiques provenant principalement du Quebec sont conserves. Quelques echantillons d’autres regions du monde sont egalement exposes en guise de comparaison avec le patrimoine du Quebec. Plus d’une centaine de mineraux du Petit musee sont presentes dans un livre grand public (Bedard et al. 2008). De plus, une partie de la collection peut etre consultee en ligne. Le Petit musee n’est cependant pas qu’une simple collection de mineraux. L’UQAC accueille regulierement des groupes scolaires de niveau primaire et secondaire qui viennent visiter le Petit musee. Les visites d’eleves sont generalement accompagnees d’activites de vulgarisation scientifique. Ainsi, pour les plus jeunes, un conte a ete developpe pour presenter de facon amusante quelques mineraux et leurs utilisations. Le hero vit de nombreuses aventures dans lesquelles les mineraux offrent des solutions aux problemes rencontres. Pour les plus vieux, des activites de laboratoire sont offertes dans lesquelles ils peuvent observer une roche en fusion, mesurer et gouter la salinite de l’eau et experimenter sur la densite. Des nouveaux presentoirs sont en developpement : une vitrine ayant comme theme le « crayon plomb » nous fera decouvrir l’histoire riche de cet objet commun et des dioramas sur les grandes extinctions pour valoriser le patrimoine fossilifere quebecois.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.000

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 head0.022
GPT teacher head0.179
Teacher spread0.157 · 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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