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Record W7107969502 · doi:10.71655/uvcibv.ytmx9-k0564

Détermination des termes du bilan hydrologique d'un sous-bassin versant du Bandama Blanc

2016· dissertation· W7107969502 on OpenAlexaff

Bibliographic record

VenueUniversité Virtuelle de Côte d'Ivoire · 2016
Typedissertation
Language
FieldSocial Sciences
TopicHistorical and Environmental Studies
Canadian institutionsMinistry of Natural Resources and Wildlife
Fundersnot available
KeywordsDrainage basinEnvironmental policyContext (archaeology)

Abstract

fetched live from OpenAlex

Ce mémoire présente une étude visant à déterminer les termes du bilan hydrologique d'un sous-bassin versant du Bandama Blanc. Il comprend une synthèse bibliographique sur la zone d'étude (localisation géographique, réseau hydrographique, caractéristiques morphométriques, régime hydrologique, géologie, géomorphologie, végétation, climat, évaporation) et les éléments de contexte théoriques sur le bilan hydrologique et les composantes du cycle hydrologique (précipitations, évaporation et évapotranspiration, interception, stockage dans les dépressions, infiltration, écoulements). Les données d'étude et les approches méthodologiques sont détaillées, incluant la détermination des aires d'influence des postes et des termes du bilan hydrique, avec une justification du choix de la méthode d'estimation. L'analyse des résultats porte sur l'analyse des aires des postes pluviométriques et du bilan hydrologique, incluant sa variabilité spatio-temporelle et le volume d'eau annuel par ruissellement.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.201
Teacher spread0.197 · 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 designNot applicable
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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