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Record W2156984955 · doi:10.2304/ciec.2002.3.3.7

Engaging the Discourse of Diversity: Educators' Frameworks for Working with Linguistic and Cultural Difference

2002· article· en· W2156984955 on OpenAlexaffabout
Veronica Pacini‐Ketchabaw, Sandra R. Schecter

Bibliographic record

VenueContemporary Issues in Early Childhood · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsYork UniversityUniversity of Victoria
Fundersnot available
KeywordsDiversity (politics)SociologyPedagogyCurriculumNarrativeRhetorical questionConversationCultural diversityLinguistics

Abstract

fetched live from OpenAlex

Although plurality and diversity are often taken as givens in the ongoing conversation on the role of public schooling, practitioners do not necessarily share the same understandings of these sociological facts. This article explores ways in which teachers who are committed to working within ethnically and linguistically diverse settings make sense of their professional missions. We examine these ways through the lens, or interpretative framework, of scholarly discussions on discourse and subjectivity. We present four discourses for understanding diversity that we encountered in our professional development work with teachers in two urban school settings in Ontario, Canada. To represent the core narratives associated with these discourses, we use the following templates: difference as deficit; preparing minority students and families to facilitate the school's agenda; intercultural sensitivity as a pedagogic tool; and diversity as curriculum. The respective different understandings and rhetorical practices aligning to these templates impacted classroom curriculum, students' socialisation within the school, and the relationship between school, home and community.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.051
GPT teacher head0.324
Teacher spread0.273 · 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

Citations18
Published2002
Admission routes2
Has abstractyes

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