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Record W4392528635

CSR in Lebanon : Realities & Perspectives

2016· preprint· fr· W4392528635 on OpenAlexfundno aff
Elham Chehaimi

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2016
Typepreprint
Languagefr
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
FundersDepartment for Environment, Food and Rural Affairs, UK GovernmentMinistry of Agriculture - Saskatchewan
KeywordsPolitical scienceCorporate social responsibilityPublic relations
DOInot available

Abstract

fetched live from OpenAlex

Le Liban, qui traverse une crise politique, économique et institutionnelle sans précédent fait preuve depuis quelques années d’une résilience remarquable. Le secteur économique au Liban fortement lié aux conflits régionaux est confronté à des problèmes tels que la pauvreté des ressources, l’endettement, le chômage, ainsi que la présence de réfugiés syriens qui tend davantage la situation. Contrastant avec l’instabilité politique du pays, c’est la dynamique de l’économie libanaise qui a permis au secteur privé de pallier aux carences et au désengagement de l’Etat quant à l’application de ses missions régaliennes, selon un certain système de laisser-faire. C’est dans ce contexte que nous examinerons le rôle du secteur privé au Liban qui crée dans le champ social un espace d’entreprise citoyenne en marge de l’Etat qui se tourne vers la satisfaction de l’intérêt général par le biais de la responsabilité sociale des entreprises RSE.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.124
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.005
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.025
GPT teacher head0.270
Teacher spread0.245 · 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 designQualitative
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".

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Citations0
Published2016
Admission routes1
Has abstractno

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