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Record W2966304435 · doi:10.1590/0104-4060.66806

The role of critical qualitative research in educational contexts: A Canadian perspective

2019· article· en· W2966304435 on OpenAlexaffabout
Susan Tilley

Bibliographic record

VenueEducar em Revista · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsPositivismQualitative researchSociologyEducational researchSituatedCritical theoryPerspective (graphical)PedagogyEpistemologySocial science

Abstract

fetched live from OpenAlex

ABSTRACT In this paper, the author discusses the qualitative shift in educational research from a historical dependence on positivist and post-positivist frameworks to a proliferation of research situated within a qualitative, interpretivist paradigm. Offering a Canadian perspective, the author situates the discussion of critical qualitative research in relation to the growing neoliberal influence on educational contexts and policy decisions. She argues the need for educational researchers to conduct critical qualitative research to explore the complex issues that educators face to ensure that all students have access to equitable educational experiences, not only those students who represent the Canadian dominant white, middle-class norm. The author introduces a strand of qualitative research focused on the experiences of black, racialized and Indigenous students to illustrate the need for critical research that privileges local knowledge and human experience, while also taking into account the dominant institutional structures that shape educational experience. Although acknowledging the place of quantitative research in the educational domain, she argues that critical qualitative research is essential to understand the experiences of marginalized students in educational contexts and to provide space for voices not available in the quantitative domain. The author concludes that critical qualitative research has an important role to play in informing new directions in educational practices and policies that will help to ensure a socially just education for all students, regardless of backgrounds.

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)0.004
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.711
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.217
GPT teacher head0.567
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 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

Citations22
Published2019
Admission routes2
Has abstractyes

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