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Record W2077712807 · doi:10.1080/15348458.2012.723576

Beliefs Into Practice: A Religious Inquiry Into Teacher Knowledge

2012· article· en· W2077712807 on OpenAlexaff
Bradley Baurain

Bibliographic record

VenueJournal of Language Identity & Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsBriercrest College and Seminary
FundersChina Electronics Technology Group Corporation
KeywordsWitnessFaithPsychologyCurriculumField (mathematics)PedagogyQualitative researchSocial psychologySociologyEpistemologySocial science

Abstract

fetched live from OpenAlex

In the field of teacher knowledge, “beliefs” is a large term narrowly constructed. The beliefs theorized, researched, and discussed are beliefs about technique, methodology, curriculum, classroom management, professional development, and similarly. Spiritual and religious beliefs are for the most part omitted. This study argues that they should be included, especially because they already fit the area of inquiry the field has defined for itself. Therefore, the purpose of this qualitative questionnaire study is to explore how Christian ESOL teachers perceive and describe putting their personal religious beliefs into practice in their professional lives. This study found that as a result of their religious beliefs, respondents believed they should (a) act in a loving or charitable manner toward their students; (b) respect all students as intrinsically valuable human beings; (c) teach in student-centered ways; and (d) witness to their Christian faith. Participants' responses illuminate the interrelationships and interactions among personal and professional beliefs in the formation of teacher knowledge.

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)0.008
metaresearch head score (Gemma)0.017
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 score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.015
Scholarly communication0.0040.007
Open science0.0010.003
Research integrity0.0010.003
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 head0.021
GPT teacher head0.435
Teacher spread0.414 · 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

Citations24
Published2012
Admission routes1
Has abstractyes

Explore more

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