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Record W2886644272

Impacts du réchauffement climatique sur le lac Saint-Pierre

2016· article· fr· W2886644272 on OpenAlexaboutno aff
A.-M. Dulude

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsForestryHumanitiesGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

Le rechauffement climatique occasionnera une remontee du niveau des oceans due a la fonte des glaciers. Par contre, le niveau des Grands Lacs devrait diminuer a cause du phenomene d’evaporation. Cette decrue sera plus evidente entre Montreal et la decharge du lac Saint-Pierre. En amont, la presence de barrages maintient le niveau de l’eau. En aval du lac Saint-Pierre, c’est la remontee du niveau des oceans qui se fera sentir. Le lac Saint-Pierre, qui est peu profond, risque de s’assecher davantage, ce qui entrainera une perte importante de milieux humides. Cet appauvrissement des habitats provoquera une chute de la biodiversite. La qualite de l’eau diminuera en meme temps que la disparition des milieux humides car les plantes aquatiques ne seront plus la pour jouer leur role de filtration. De plus, un moins grand volume d’eau est plus affecte par des apports de substances polluantes. La perte de ressources fauniques affectera la pratique de la chasse et de la peche. Le niveau d’eau trop bas reduira de beaucoup la pratique de sports nautiques et la navigation de plaisance. Durant l’hiver, on observera plus frequemment des crues. Celles-ci se caracterisent par des mouvements de glaces plus epaisses qui ont un effet erosif plus important sur les berges. Cette erosion emportera plus de sediments dans le lac qui finiront par l’envaser completement ne laissant que le chenal maritime entretenu pour la navigation commerciale.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.526

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.035
GPT teacher head0.304
Teacher spread0.269 · 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 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
Published2016
Admission routes1
Has abstractyes

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