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Record W7116950680 · doi:10.14419/4gp38156

A Literature Review on The Social and Solidarity Economyas A Lever for The Professional Integration of Young Graduates: Comparative Studies of Cases from Morocco and Quebec

2025· article· en· W7116950680 on OpenAlexaboutno aff
Said Maizzou, Abdelhak Anajar, Mohamed Rahmo

Bibliographic record

VenueInternational Journal of Accounting and Economics Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityUnemploymentYouth unemploymentSocial integrationProfessional developmentSocial solidarityBridge (graph theory)

Abstract

fetched live from OpenAlex

This scientific communication explores the role of the Social and Solidarity Economy (SSE) in the professional integration of young graduates, focusing on the cases of Morocco and Quebec. SSE, representing solidarity and sustainability, constitutes an authentic alternative in addressing youth unemployment and the skills mismatch. In Quebec, where SSE accounts for 8% of GDP, programs such as Youth Employment Centers have demonstrated their effectiveness by providing training and support services. Although SSE is still emerging in Morocco, initiatives like IDMAJ show promise, highlighting the need to move beyond symbolic employment and bridge the skills-market gap. The full potential of SSE can be realized through mechanisms such as public-private partnerships, tailored training programs, and a supportive legal framework. Morocco’s SSE ecosystem, even in its early stages, can benefit from Quebec’s experience, including youth cooperatives, to strengthen this developing sector. Overall, SSE appears to be a viable pathway for enhancing the professional integration of young people, offering opportunities for knowledge transfer and collaborative initiatives between Morocco and Quebec.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.257
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.143
GPT teacher head0.434
Teacher spread0.291 · 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 teacher head, 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

Citations0
Published2025
Admission routes1
Has abstractyes

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