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Record W4380669285 · doi:10.58205/fber.v1i1.1569

Analyse spatiale du potentiel PME Dans la wilaya de Tizi-Ouzou

2017· article· fr· W4380669285 on OpenAlexaff
Madjid Hadjem, Khaled Guedeche

Bibliographic record

VenueFinance and Business Economies Review · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesGeographyGeoreferenceForestryPolitical scienceArtPhysical geography

Abstract

fetched live from OpenAlex

Les politiques en faveur de la création et de la promotion des PME ont eu un impact positif sur lacroissance du parc PME dans la wilaya de Tizi-Ouzou. Aussi, l’objectif de cet article est de savoir si lacroissance du parc PME profite équitablement à toutes les communes de la wilaya. On s’intéresse de savoirs’il y a ou non disparités spatiales dans la localisation des PME.Pour y répondre nous avons adopté une méthodologie, suivant une approche d’économie spatiale,descriptive et quantitative sur la base de la recherche documentaire et de l’analyse des données statistiquesdes organismes publics compétents.Il s’agit dans un premier temps d’énumérer les actions et politiques en faveur de la croissance duparc PME en Algérie. Dans un deuxième temps, nous analysons l’évolution du parc PME dans la wilaya deTizi-Ouzou, ainsi que sa répartition sectorielle et spatiale, à la recherche d’éventuelles disparités spatialesde localisation. Les résultats montrent l’existence de disparités à ces deux niveaux.

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 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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.030
GPT teacher head0.261
Teacher spread0.231 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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