Bibliographic record
Abstract
Drawing on Membership Categorization Analysis (Schegloff 2007b) and stance analysis (Du Bois 2007), this chapter uses interview and group discussion data from rural Canada to analyze how Christian Canadians identify themselves in relation to religion via attitudinal-stance-taking around same-sex marriage (SSM). The data analyzed are drawn from a larger study investigating discursive constructions of religious identity in rural Canada. The chapter pays particular attention to Christian Canadians' engagement in collaborative stance-taking; their precise choices of stance object; the linguistic resources with which they project different stances; and the support offered for those stances. In doing so, it highlights oft-neglected intra-group differences and shows how multiple religious identifications can be negotiated, not only across different settings but even within a single turn-at-talk - thereby bringing some complexity to confront the negative stereotypes in terms of which religious individuals are often depicted. Keywords: Christian Canadians; collaborative stance-taking; discursive constructions; religious identity; rural Canada; same-sex marriage (SSM)
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".