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Record W7132929409

"Bridged of Empathy": Exploring Controversy Through Culturally Responsive Pedagogy

2016· other· en· W7132929409 on OpenAlexfundno aff
Aaron Joo

Bibliographic record

VenueTSpace · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersOffice of International Science and EngineeringUniversity of Toronto
KeywordsSocial justiceOpposition (politics)Theme (computing)Class (philosophy)Cultural competenceQualitative research
DOInot available

Abstract

fetched live from OpenAlex

This research project investigates how educators with intermediate teaching experience understand culturally responsive pedagogy (CRP), and how this reflects in their practice. Data derived from three semi-structured interviews with educators with a demonstrated commitment to CRP. Four themes arose from the data with respect to participants’ application of CRP: 1) interpreting CRP as comprehensive and multifaceted, 2) making student experience meaningful and relevant, 3) CRP as constrained by opposition from learning community and limitations to exploring social justice issues, and 4) navigating constraints through a fostering of authenticity. All themes align with preexisting literature with the exception of the last subtheme in Theme 4 where I explore my participants’ uniquely individual entry points to exploring social justice issues as a way to navigate the limitations of class discussion.

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)0.015
metaresearch head score (Gemma)0.023
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 score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.027
Scholarly communication0.0100.008
Open science0.0020.014
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.395
Teacher spread0.322 · 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
Published2016
Admission routes1
Has abstractyes

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