Intersubjectivity, Hermeneutics, and the Production of Knowledge in Qualitative Mennonite Scholarship
Bibliographic record
Abstract
In this article, the author explores the nature of interpretation as it pertains to qualitative methods of inquiry. He elaborates on the epistemological problems that occur in discussions of the nature of human and social sciences as distinct from the theoretical foundations of the natural sciences. The examination of Mennonite scholarship provides an interesting case study as to the requirements of a hermeneutical social science because of the range of scholarly frameworks and varying locations of identity of the scholars in relation to the broader Mennonite community. The author argues that Mennonite scholarship is novel in the manner by which Mennonite scholars contribute to and participate within broad Mennonite intersubjective understandings. By extension, Mennonite scholars are able to deal with common epistemological problems and dichotomies that arise in the context of the researcher and the object of study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".