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Record W2337099018 · doi:10.1177/2047173415597142

Empowering students: Pedagogy that benefits educators and learners

2015· article· en· W2337099018 on OpenAlexaff
Catherine Broom

Bibliographic record

VenueCitizenship Social and Economics Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEmpowermentPedagogyContext (archaeology)Meaning (existential)SociologyPower (physics)DemocracyWork (physics)Teaching methodMathematics educationPsychologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

This article argues that one of the main goals of social or civic studies is to empower students. However, traditional teaching practices often have the opposite effect of disempowering students. Traditional teaching practices are understood to emerge from the history and context of public schooling, from early practices, which have been reified. After describing this context, the article reviews the meaning of and literature around empowerment, which relate to the democratic purpose of schooling. The conception of empowerment that is presented is developed from Foucault’s work on power and knowledge. After this discussion, the article provides recommendations that aim to improve teaching practice in this area. These recommendations emerged from the teaching of an integrated teacher education course and include strategies such as inquiry, relationship - and community-building, problem or issue scenarios, and discussions. Comments from the student teachers who took the education course are included. The article demonstrates how empowering students does not disempower teachers, as teachers may fear.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.005
Scholarly communication0.0060.005
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.111
GPT teacher head0.412
Teacher spread0.301 · 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 designNot applicable
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

Citations67
Published2015
Admission routes1
Has abstractyes

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