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Record W4365808850

Effects of Temperatures and Rainfall Variability on theAbundance and Diversity of Caelifera (Insecta, Orthoptera) inThree Natural Environments in the Mzab Valley,Septentrional Sahara (Algeria)

2018· article· en· W4365808850 on OpenAlex
Youcef Zergoun, Omar Guezoul, Makhlouf Sekour, Noureddine Bouras, Michael D. Holtz

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

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEntomological Studies and Ecology
Canadian institutionsAgriculture Food and Rural Development
Fundersnot available
KeywordsOrthopteraAbundance (ecology)Diversity (politics)Natural (archaeology)EcologyGeographyBiology
DOInot available

Abstract

fetched live from OpenAlex

The climatic condition is assumed as the main factor responsible for development and survival of insects; this investigation was conducted to study the responses of Caelifera to temperatures and precipitation variations during 2017 in three natural environments of Mzab Valley, Ghardaïa, Algeria. A total of 22 grasshopper species were collected, representing four families and eight subfamilies. The subfamily Oedipodinae was the dominant, followed by Pyrgomorphinae and Thrinchinae. Two species: Sphingonotus rubescens and Sphingonotus savignyi occurred frequently in the three sites. However, only one accidental species, Eunapiodes sp. was found. According to our observations, it is clear that the grasshopper diversity was higher in July and August coinciding with the increase in temperature. In such conditions, the precipitation has less influence on species diversity

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.835

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.090
GPT teacher head0.414
Teacher spread0.323 · 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