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Record W2610471471

Portrait global de l'état du Saint-Laurent : l'eau, les sédiments, les ressources biologiques et les usages. Suivi de l'état du Saint-Laurent

2003· article· fr· W2610471471 on OpenAlexaboutno aff
Jean Painchaud, Suzanne Villeneuve

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Le Saint-Laurent a ete exploite, modifie et pollue par l’activite humaine au cours des derniers siecles. Ce n’est que depuis une trentaine d’annees que des mesures de restauration et de protection ont ete graduellement mises en place. En ce debut de 21e siecle, quel est l’etat du Saint-Laurent ? Quel est le sens de son evolution recente: debut d’amelioration ou persistance de la degradation ? C’est pour repondre a ces questions qu’un programme de suivi a long terme de l’etat du Saint-Laurent a ete elabore et lance en fevrier 2003 dans le cadre du Plan d’action Saint-Laurent Vision 2000, une entente de concertation Canada-Quebec. Les informations obtenues lors des diverses activites de suivi sont utilisees pour tenter de dresser un portrait global de l’etat du Saint-Laurent. A cette fin, des indicateurs environnementaux ont ete identifies, plus particulierement en ce qui a trait a l’eau, aux sediments et aux ressources biologiques. Certaines donnees permettent aussi de statuer sur les usages par la population tels que la baignade ou la consommation de poisson. La premiere partie du document decrit le Programme Suivi de l’etat du Saint-Laurent. La deuxieme partie traite de l’etat et de l’evolution du Saint-Laurent, alors que la troisieme partie porte plus specifiquement sur l’evolution de la contamination du Saint-Laurent par des toxiques. Enfin, dans la quatrieme partie, des perspectives pour l’avenir du Saint-Laurent sont degagees. Le portrait actuel est base sur les indicateurs d’etat qui font l’objet des 16 fiches d’information accompagnant ce document. Les indicateurs temoignent d’une certaine amelioration de l’etat du Saint-Laurent dans son ensemble. Toutefois, les donnees montrent aussi la vulnerabilite du milieu, particulierement en ce qui concerne la qualite de l’eau, certaines especes fauniques et les milieux humides.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.459
Threshold uncertainty score0.923

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.021
GPT teacher head0.285
Teacher spread0.264 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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