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Record W4286791261 · doi:10.4000/multilinguales.7017

Dynamisme linguistique (amazigh-arabe/ anglais-français) dans l’entreprise agroalimentaire - Cevital - en Algérie

2021· article· fr· W4286791261 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

VenueMultilinguales · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsInstitut de Technologie Agroalimentaire
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophySociology

Abstract

fetched live from OpenAlex

Cette étude porte sur la relation qui existe entre les langues et le secteur économique. Elle s’inscrit dans le cadre d’une étude sociolinguistique menée au sein de l’entreprise agroalimentaire Cevital de Bejaia. Ce champ disciplinaire démontre l’importance des langues dans les entreprises. Ces dernières développent, entre autres, des stratégies adéquates pour gérer leur volet linguistique. Les langues véhiculent des représentations sociales variées dans l’entreprise. Nous nous intéressons dans le présent article à la place accordée aux langues nationales (l’amazigh et l’arabe) ainsi que les langues étrangères (le français et l’anglais) au sein des entreprises algériennes. Il est question de repérer les choix effectués à Cevital en matière de langues et leurs usages dans les situations de communication (formelles et informelles) afin de contribuer au bon déroulement des activités professionnelles.

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.018
GPT teacher head0.326
Teacher spread0.309 · 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