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Record W2182903907 · doi:10.22215/cjers.v5i1.2458

The Success of France’s Youth: Children of Algerian Descent in the Classroom

2009· article· en· W2182903907 on OpenAlexvenueno aff
Marisa Boyd

Bibliographic record

VenueThe Canadian Journal of European and Russian Studies · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicNorth African History and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationInstitutionCitizenshipEthnic groupSociologyEducational institutionGender studiesColonialismPedagogyPolitical scienceSocial scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

The purpose of this exploratory research is to elucidate the connection between the institution of the French educational system and its function as a vehicle of integration for the children of immigrants. Focusing on those of Algerian descent, this paper asks if and how the educational system is failing this particular demographic. By contextualising colonial France in Algeria, this paper shows the connection between history and the educational institution as it relates to contemporary French culture. This paper argues that the French educational system, although well established, does not recognise nor meet the needs of the multi-ethnic classroom. By identifying integration as a key player, this paper explores the relationships between citizenship and integration and how perceptions of both concepts are produced and reproduced in the school system. This paper notes the need for a shift in the current discourse for the “second generation” from one of “immigrants and immigration” to a more precise discourse on ethnic minorities. Full text available at: https://doi.org/10.22215/rera.v5i1.202

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)0.002
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 score0.120
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.004
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.209
Teacher spread0.186 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe Canadian Journal of European and Russian StudiesSame topicNorth African History and LiteratureFrench-language works237,207