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Record W2133053533 · doi:10.1051/nss:2007048

“Landscape Ecology in the Mediterranean: inside and outside approaches”

2007· article· en· W2133053533 on OpenAlexaboutno aff
Jacques Blondel

Bibliographic record

VenueNatures Sciences Sociétés · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyMediterranean climateEcologyLandscape ecologyEnvironmental resource managementEnvironmental scienceBiologyArchaeologyHabitat

Abstract

fetched live from OpenAlex

Ce congres concerne la section europeenne de l’International Association for Landscape Ecology (IALE). Remarquablement organise dans un hotel de la capitale de l’Algarve, il a reuni plus de 190 delegues (dont une dizaine de Francais), provenant de vingt-huit pays d’Europe, auxquels se sont joints quelques chercheurs venus de pays plus lointains (Etats-Unis, Canada, Australie, Nouvelle-Zelande, Chine, Russie, Turquie). Au total, quatre-vingt-dix-huit communications orales et quatrevingt-six posters, repartis par theme, ont ete presentes (cf. Tableau). Les deux conferences plenieres introductives ont porte, l’une, sur l’impact de l’homme sur la variation des diversites biologiques le long des echelles d’espace et de temps, la seconde, sur l’unite et la singularite des paysages culturels en Mediterranee. Puis douze symposiums organises en sessions paralleles furent consacres a une serie de themes allant, d’amont en aval, des approches theoriques de l’ecologie des paysages et de son histoire a des considerations plus pratiques telles que les methodes de surveillance de la biodiversite ou de diagnostic de la dynamique des paysages. Un net accent a ete mis sur l’integration, a l’echelle des paysages, des indicateurs economiques et environnementaux, tout comme s’est manifeste un souci d’equilibre entre les aspects naturels et culturels des paysages tels qu’ils se sont dessines au cours de l’histoire. Les composantes culturelle et esthetique ont en effet ete explicitement considerees dans plusieurs interventions, tout comme la necessite de prendre en compte les aspirations des populations locales dans la gestion des paysages. Peu de symposiums furent cibles sur des especes, des groupes d’especes (a l’exception des oiseaux et des poissons) ou

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.132
GPT teacher head0.323
Teacher spread0.191 · 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 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

Citations23
Published2007
Admission routes1
Has abstractyes

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