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Record W6992366858

L’endettement étudiant au Québec : Qui sont les étudiants endettés?

2023· dissertation· fr· W6992366858 on OpenAlexaboutno aff

Bibliographic record

VenueEspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique) · 2023
Typedissertation
Languagefr
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Context (archaeology)Path dependency
DOInot available

Abstract

fetched live from OpenAlex

Dans ce mémoire, nous examinons, à l’aide de données tirées de l’Enquête nationale auprès des diplômés, les risques et les montants différenciés d’endettement des étudiants québécois selon diverses caractéristiques sociodémographiques, afin de dresser un portrait général de la situation des étudiants ayant recours à l’endettement. Il existe aux États-Unis une vaste littérature sur les risques et les montants différenciés d’endettement chez les étudiants. Celle-ci met en lumière certains aspects particuliers du recours à l’endettement tels que des inégalités systémiques entre les ménages à revenus élevés et ceux à faibles revenus. Or ce genre d’études est peu commun au Québec. Nos analyses reposent donc sur les thèmes identifiés dans la littérature américaine, tels que l’intersectionnalité, la reproduction des inégalités entre les classes sociales, la stagnation des salaires des classes moyennes et pauvres, etc., mais elles s’appuient sur des données québécoises. Au terme du mémoire, nous concluons que si la situation des étudiants québécois n’est pas aussi inquiétante que celle des étudiants américains, en particulier en ce qui a trait aux montants d’endettement, il existe cependant des inégalités sociales dans le recours au crédit au Québec, en particulier une non-linéarité dans le recours à l’endettement qui défavorise les étudiants issus de la classe moyenne ainsi qu’une corrélation négative entre le fait de provenir d’une famille aisée et celui d’avoir recours à l’endettement, ce qui sous-tend un avantage intergénérationnel. \n \nThis thesis, using data from the National Graduates Survey, examines risks and differentiated amounts of indebtedness of Quebec students according to various sociodemographic characteristics in order to draw a portrait of the situation of students resorting to indebtedness. There is, in the United States, a vast literature on the risks and the differentiated amounts of indebtedness among students. This literature sheds light on certain aspects of the use of debt such as systemic inequalities between high-income households and low-income ones. However, we don’t really find similar literature in Quebec. Our analyzes are therefore based on the themes identified in the American literature, such as intersectionality, the reproduction of inequalities between social classes, the stagnation of wages of the middle and poor classes, etc., but they are based on quebecois data. At the end of this thesis, we conclude that if the situation of Quebec students is not as worrying as that of American students, in particular regarding the amounts of indebtedness, there are however social inequalities in the use of credit, such as a non-linearity in the use of debt which disadvantages students from the middle class as well as a negative correlation between coming from a wealthy family and having recourse to indebtedness, which indicates an intergenerational advantage.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0100.003
Scholarly communication0.0050.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.074
GPT teacher head0.312
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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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