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Record W1545829337 · doi:10.7202/1006110ar

Régionalisation des débits moyens mensuels en Algérie du nord

2011· article· fr· W1545829337 on OpenAlexaff
Mustapha Touazi, Najat Bhiry, Jean‐Pierre Laborde, Farid Achour

Bibliographic record

VenueRevue des sciences de l eau · 2011
Typearticle
Languagefr
FieldEnvironmental Science
TopicHydrology and Drought Analysis
Canadian institutionsUniversité LavalCenter for Northern Studies
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

L'identification des régions ayant des caractéristiques hydrologiques homogènes en Algérie du Nord représente l'objectif principal de cette étude. L'analyse en composantes principales (ACP) et la classification par les composantes principales dynamiques (CPD) ont été appliquées sur les débits moyens mensuels de 51 stations hydrométriques. Les résultats de l'ACP ont montré l'existence de trois groupes hydrologiquement homogènes. La mise en oeuvre de la méthode CPD a aussi mis en évidence les trois mêmes groupes. Les types de régimes mis en évidence avec les deux méthodes sont de types simple, mixte et complexe. Le type de climat qui caractérise ces groupes est méditerranéen pour le premier, transition entre méditerranéen et semi-aride pour le deuxième et semi-aride pour le troisième groupe.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.007
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.104
GPT teacher head0.291
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2011
Admission routes1
Has abstractyes

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