MétaCan
Menu
Back to cohort
Record W4385771837 · doi:10.4148/0146-9282.2345

Teaching French as a Foreign Language in Multilingual and Anglophone Contexts: The Experiences of Teachers in Nigeria and Ghana

2023· article· en· W4385771837 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

VenueEducational Considerations · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsCurriculumFrenchForeign languagePolitical scienceSubject (documents)Language policyOfficial languageDeveloping countryPedagogySociologyEconomic growthLinguisticsLibrary scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Nigeria and Ghana are two Anglophone countries in West Africa that have adopted the teaching of the French language in their education systems because of their proximity to francophone countries and the necessity for regional integration. Whereas the language has gained some official status in the national curriculum (National Policy on Education) in Nigeria and made a required subject at some levels of education, French continues to enjoy a privileged status in Ghana but without an official status yet. Using a comparative approach, this paper explores the language policy in favour of the French language and its teaching at the secondary and post-secondary levels in both countries. The analysis of primary data collected with teachers at both levels in these countries show that, although French does not enjoy the same status in the two geographical spaces, similarities abound in terms of the policy regulating its teaching and the challenges impeding the full implementation of the policy. Country-specific solutions are offered to existing challenges.

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)0.007
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 score0.049
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.382
Teacher spread0.353 · 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