MétaCan
Menu
Back to cohort
Record W2890292877 · doi:10.4000/cybergeo.29257

L’amplification de la désertification par les pratiques agro-sylvo-pastorales dans les hautes plaines steppiques algériennes : les modes d’habiter de la Wilaya de Djelfa

2018· article· fr· W2890292877 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCybergeo · 2018
Typearticle
Languagefr
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsGeographyHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article analyse les modes d’habiter et les pratiques agro-sylvo-pastorales de 188 familles dans une région steppique de l’Atlas Saharien. La population rurale y est désormais sédentaire. Le cas de la Wilaya de Djelfa permet de comprendre comment ces modes d’habiter s’inscrivent dans les divers milieux locaux et quels sont leurs impacts potentiels sur la désertification. Il ressort des observations de terrain, des enquêtes et des analyses statistiques qu’en plus d’exploiter les ressources végétales locales, les chefs de ménages interrogés dans quatre milieux différents (forestier, à matorral, steppique, dunaire et chott) pratiquent la supplémentation pour leurs troupeaux, ce qui a pour conséquence d’augmenter la taille de ceux-ci et d’intensifier le surpâturage. De même, l’approvisionnement en eau n’est plus traditionnel : si certains surexploitent les nappes aquifères sous-jacentes, la plupart des agropasteurs ont recours aux camions citernes. L’adaptation des modes d’habiter et d’exploiter le milieu est fortement déterminée par le capital du ménage qui permet de suppléer aux manquements locaux, avec cependant des conséquences importantes sur l’accentuation de la désertification

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.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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