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Record W2058343822 · doi:10.18034/abcjar.v3i1.30

Anthropized Agrarian Landscape in the Central-west of Tunisia: Attempts to Evaluate the Production’s Systems of Apples-trees Orchards in the Delegation of Sbiba

2014· article· en· W2058343822 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

VenueABC Journal of Advanced Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAgrarian societyAgricultureGeographyDelegationProduction (economics)Product (mathematics)AgroforestryAgricultural productivityForestryPolitical scienceArchaeologyEconomicsMathematicsEnvironmental science

Abstract

fetched live from OpenAlex

The delegation of Sbiba is characterized by a specific agricultural stamp; it is the “true oasis” of the Central-west of Tunisia. This study consists in characterizing the agrarian landscape as “a product” of the agricultural systems. On the basis of the apple orchards example, we try to create a reflection on the articulations between material and ideational dimensions of the landscape production through transdisciplinary analysis; spatial and agricultural analysis. The results showed that the systems of production of apple orchards at Sbiba are characterized especially by the micro properties, 65% of orchards superficies are lower than 5 ha, even so, apple's productions remain fairly important (10 t/ha). The perception of the agrarian landscape with the use of the Quotation method shows that this zone is a rural region characterized by its agricultural aspect and an abundance of apple orchards.

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)0.013
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.087
GPT teacher head0.394
Teacher spread0.307 · 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