Pragmatism as a Supportive Paradigm for the Mixed Research Approach: Conceptualizing the Ontological, Epistemological, and Axiological Stances of Pragmatism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The emergence of the mixed research approach has been accompanied by searching for a philosophy that legitimates mixing quantitative and qualitative methods in one research. Many researchers consider pragmatism as the most common philosophical justification for the mixed research approach; however, pragmatism is criticized as a philosophy in general and also as philosophical support for the mixed research approach especially for not addressing the differing assumptions of the quantitative and qualitative paradigms. Trying to overcome this criticism, the current research is mainly concerned with presenting pragmatism as a coherent, integrated paradigm by conceptualizing its ontological, epistemological and axiological stances. The researcher coins three new terminologies: the reality cycle, the double-faced knowledge, and the necessary bias principle. These philosophical stances combine both the quantitative and qualitative paradigms' points of view as two integrated, not conflicting philosophies.
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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 | 0.024 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it