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Record W2623263887 · doi:10.37119/ojs2017.v23i1.315

The Light to the Left: Conceptions of Social Justice Among Christian Social Studies Teachers

2017· article· en· W2623263887 on OpenAlexaffvenueabout
Paul Orlowski

Bibliographic record

Venuein education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSociologyIdeologyGender studiesSocial justicePoliticsSocial changeSocial philosophyProtestantismFeminismFaithTheme (computing)Social sciencePolitical scienceLawSocial relationTheology

Abstract

fetched live from OpenAlex

This article describes a study that took place in Saskatchewan, Canada, during 2013-2014. Ten practicing high school social studies teachers who self-identified as Christian answered an unsolicited invitation to participate in a qualitative study about the ways in which they think about social justice. Almost evenly split between Catholic and Protestant, female and male, and urban and rural, most participants were very progressive in their thinking about important economic and social issues. For example, all supported paying taxes and the social welfare state, and almost all supported gay rights and feminism. As well, an important emergent theme arose: The majority spoke about breaking from the teachings of their church if the teachings did not fit with contemporary society. All of them claimed that their faith influenced their thinking about social justice. The study challenges some secular notions about the values held by Christian social studies teachers. Situated in Canada, the study challenges American research findings about the political ideology and values of Christian social studies teachers. Keywords: social studies education; teaching for social justice; controversial issues; teacher beliefs; Christian teaching

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)0.005
metaresearch head score (Gemma)0.008
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 score0.581
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0340.060
Scholarly communication0.0100.004
Open science0.0010.007
Research integrity0.0020.007
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 head0.127
GPT teacher head0.470
Teacher spread0.343 · 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

Citations2
Published2017
Admission routes3
Has abstractyes

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