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Record W7005785900

Rôle des outils régionaux dans la mobilisation et la rétention des capitaux financiers en régions périphériques : le cas des Caisses d’entraide économique du Québec

2021· other· fr· W7005785900 on OpenAlexaboutno aff

Bibliographic record

VenueConstellation (Université du Québec à Chicoutimi) · 2021
Typeother
Languagefr
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsnot available
Fundersnot available
KeywordsPension fundPublic accounting
DOInot available

Abstract

fetched live from OpenAlex

L’exploitation des ressources naturelles dans les régions périphériques par les multinationales s’accompagne d’importants investissements en provenance des grandes métropoles. Les retombées économiques générées par les investissements étrangers et d’autres formes de richesses non exploitées dans les périphéries sont par conséquent drainées vers les grands centres économiques. Face à cette problématique du drainage des richesses, l’hypothèse globale de notre étude est que la mobilisation et l’accumulation des capitaux financiers par des outils régionaux permettraient de pallier la dépendance des périphéries par rapport aux investissements étrangers. Dans le présent document, nous avons étudié huit types d’outils parmi lesquels nous avons retenu le modèle des Caisses d’entraide économique du Québec pour l’étude de cas. Il s’agit d’un type d’outils de rétention, mis en place par le bas, c’est-à-dire à l’échelle régionale. Ces outils jouent à la fois un rôle d’intermédiaires financiers et un rôle d’accompagnants auprès des entreprises régionales. Les données collectées sur l’expérience des Caisses d’entraide économique ont d’abord permis de mettre en relief leur rôle dans la mobilisation de l’épargne des populations. Ensuite, nous avons pu mettre en lumière leur rôle dans le développement de l’entrepreneuriat régional grâce aux données concernant le financement des petites entreprises industrielles et commerciales. Enfin, les résultats de l’étude mettent en valeur la contribution des Caisses d’entraide économique à la promotion d’un mode de développement autonome et inclusif par l’implication des acteurs régionaux dans la gestion des affaires. Le financement de l’entrepreneuriat par l’épargne régionale, la création d’emplois et d’autres retombées socioéconomiques ont également motivé notre choix des Caisses d’entraide comme exemples d’outils de rétention des capitaux financiers dans les régions périphériques. The exploitation of natural resources in peripheral regions by multinationals is accompanied by significant investment from the core. However, the economic benefits generated by these foreign investments and other forms of wealth not exploited by the peripheries are drained back to the large regions. Faced with the problem of wealth drainage, the overall hypothesis of our study is that the mobilization and accumulation of financial capital through regional tools would make it possible to overcome the dependence of the peripheries on foreign investments. In this paper, we have studied eight types of tools, among which we have selected the Caisses d'entraide économique du Québec model for the case study. This is a type of retention tools, set up from below. These tools play both the role of financial intermediaries and a role of accompanists for regional companies. The data collected on the experience of the mutual economic assistance funds first made it possible to highlight their role in mobilizing people's savings. Secondly, we were able to highlight their role in the development of regional entrepreneurship thanks to data on the financing of small industrial and commercial enterprises. Finally, the results of the study highlight the contribution of the Caisses d'entraide économique to the promotion of an autonomous and inclusive mode of development through the involvement of regional actors in the management of affairs. The financing of entrepreneurship through regional savings, job creation and other socio-economic benefits also motivated the choice of mutual aid funds as examples of tools for retaining financial capital in peripheral regions.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.144
Threshold uncertainty score0.290

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
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 head0.024
GPT teacher head0.238
Teacher spread0.214 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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Same venueConstellation (Université du Québec à Chicoutimi)Same topicBiological and pharmacological studies of plantsFrench-language works237,207