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Record W2945363848 · doi:10.1108/emjb-12-2018-0090

Local rooting and creativity within the fashion industry in Beirut

2019· article· en· W2945363848 on OpenAlexaff
Tarek Ben Hassen, Diane‐Gabrielle Tremblay

Bibliographic record

VenueEuroMed Journal of Business · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsOriginalityCreativityFashion designValue (mathematics)Intervention (counseling)Fashion industryMarketingBusinessKnowledge managementSociologyPublic relationsPolitical sciencePsychologyComputer scienceSocial psychologyClothing

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to analyze the factors that make Beirut a fashion hub by studying the characteristics of creativity and the role of the different stakeholders in setting an environment that encourages creativity in Beirut. Design/methodology/approach The methodology of this research is based on a literature review and information collected through semi-structured interviews with the different stakeholders of the sector. Findings The research reveals three results. First, this dynamic fashion design in Beirut is explained by the international success of some Lebanese fashion designers. Second, as there is an absence of any form of governmental intervention, the development of the sector is totally based on private business initiatives. Third, the research demonstrates the importance of the local culture, knowledge exchanges and lifestyle in shaping creativity and designers’ careers in Beirut. Originality/value These findings contribute to the clarification and critical analysis of the current state of fashion design in Beirut, which would have several policy implications.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.003
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.036
GPT teacher head0.275
Teacher spread0.239 · 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".

Quick stats

Citations6
Published2019
Admission routes1
Has abstractyes

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