Paradigm, methodology and method: intellectual integrity in consumer scholarship
Bibliographic record
Abstract
Abstract The intellectual integrity, trustworthiness and diversity of consumer scholarship depend on researchers accounting for the methodological (philosophical) underpinnings of their work. The discussion is predicated on the assumption that many scholars do not clearly differentiate between methodology and method. To address this issue, the paper distinguishes between these two concepts, identifies four axioms of methodologies, identifies and describes two overarching research paradigms (positivism and post‐positivism), contrasts quantitative/qualitative with positivistic/post‐positivistic, and positions consumer scholarship with three dominant research methodologies: scientific, interpretive and critical. Suggestions are offered about what various actors can do to better ensure responsible consumer scholarship through methodological accountability.
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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 | 0.343 | 0.389 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.008 | 0.086 |
| Scholarly communication | 0.028 | 0.019 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".