Language Ideology, Christianity, and Identity: Critical Empirical Examinations of Christian Institutions as Alternative Spaces
Bibliographic record
Abstract
The teaching and learning of languages has been mainly investigated within educational institutions, especially by applied linguists. However, religious spaces such as churches and church related programs have historically and contemporarily served as important alternative spaces for such teaching and learning to take place. At the same time, such institutions and the way that language teaching and learning unfold in these spaces necessitates both a critical and empirical examination which makes salient the role and consequences of power. The focus of this special issue is to provide examples of studies which seek to fill this gap. This introduction serves as a way to set up this special issue and the articles within it by making salient the themes of language socialization, language ideology, identity, Christianity, ethnography and systems of power, as well as showing how the four studies in this special issue speak to the aforementioned gap and these themes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.017 | 0.061 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".