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Sixty years of the development projects and combating the environment and natural resources degradation in arid and semi-arid areas in Rif mountains in Morocco

2021· book-chapter· en· W4212801986 on OpenAlexaff
Hanifa El Motaki, Abdelhak El‐Fengour, Aïssa El Bouzidi

Bibliographic record

VenueRISCOS - Associação Portuguesa de Riscos, Prevenção e Segurança eBooks · 2021
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsAdidas (Canada)
FundersFundação para a Ciência e a Tecnologia
KeywordsAridLand degradationNatural resourceNatural (archaeology)Soil conservationInvestment (military)Environmental degradationGeographyEnvironmental planningEnvironmental resource managementIdentification (biology)Soil retrogression and degradationAgroforestryEnvironmental protectionEnvironmental scienceAgricultureEcologyPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

The development programs have been carried out to deal with the degradation phenomena since 1960 in Rif Mountains in northern Morocco. These conservation and preservation projects of natural resources implemented using either mechanical or biological techniques. The objective of this text is to evaluate the strategy undertaken for water and soil conservation to curb poor land-use practices and to assess the investment in water and soil conservation actions adopted the administrative approach that does not involve the locals by encouraging their effective participation in the identification, formulation, programming, execution, and monitoring of the actions to be carried out.

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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.016
GPT teacher head0.212
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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueRISCOS - Associação Portuguesa de Riscos, Prevenção e Segurança eBooksSame topicAgriculture and Rural Development ResearchFrench-language works237,207