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Record W2574843776 · doi:10.3917/inno.052.0211

Crowdfunding et diasporas : le financement participatif vient-il remettre en cause les acteurs du financement diasporique ?

2017· article· fr· W2574843776 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

VenueInnovations · 2017
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicFinTech, Crowdfunding, Digital Finance
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Le financement participatif est une nouvelle tendance en finance entrepreneuriale. Les transferts d’argent des migrants et de leurs descendants sont importants. Notre propos est de confronter différentes littératures : celle en sociologie de l’immigration, sur les diasporas digitales et sur la finance entrepreneuriale. Nous avons fait des entrevues avec l’ensemble des acteurs clés français des plateformes diasporiques. Cela a permis de proposer une première description de ce marché avec des typologies des diasporas, les motivations à investir appliquées aux diasporas et les évolutions des motivations des investisseurs diasporiques en raison de l’apparition du crowdfunding . Les principaux constats portent sur l’équilibre entre dimension rationnelle et émotionnelle dans la décision d’investir pour les nouvelles générations de l’immigration, les compétences que les membres des diasporas rendent en retour à leur pays d’origine et la modification de la hiérarchie du financement provoquée par l’accès à des fonds en ligne.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.007
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.063
GPT teacher head0.298
Teacher spread0.235 · 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