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Record W250812565

A Critical Multicultural Analysis of a Romanian Textbook Taught in Elementary International Language Programs.

2014· article· en· W250812565 on OpenAlexaboutno aff
Dorian Stoilescu

Bibliographic record

VenueActa Didactica Napocensia · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsRomanianMulticulturalismNationalismPatienceIdentity (music)SociologyPedagogyNegotiationPolitical scienceBattleFirst languageLinguisticsGender studiesPsychologySocial scienceLawSocial psychologyHistoryAesthetics
DOInot available

Abstract

fetched live from OpenAlex

This case study proposes a critical multicultural analysis of a Romanian language textbook used for instructing students in grades one and two in the Elementary Language International Program (ELIP) in Toronto public schools in Ontario, Canada. Based on an analysis developed from Fairclough and Parker's criteria, this paper determined stereotypes held by middle class Romanians, revealing a postcommunist society with certain classist, religious, sexist and nationalist biases. Particular characteristic of confrontational behavior and lack of pedagogical patience often reported in Romanian schools and society were found in this text. With all of these stereotypes, this book offers admirable resistance for Romanian-Canadian community that seems to battle to build its own special identity. As this book is the first schooling attempt to identify and promote the Romanian-Canadian identity, redesigning the textbook in a multicultural, multilingual and multimodal framework is highly recommended, in order to afford a safe negotiation between various Romanian and Canadian national experiences.

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)0.004
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 score0.137
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0150.010
Scholarly communication0.0050.002
Open science0.0010.003
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 head0.038
GPT teacher head0.387
Teacher spread0.350 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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