Discovering How to Do Reflexivity and Self-Reflexivity: A Longitudinal Empirical Research Findings
Bibliographic record
Abstract
Reflexivity is known to be a mental process where a person takes distance to oneself to analyze and take a critical perspective over own feelings, actions and intentions in order to realign own practice. Reflexivity is therefore a form of metacognitive brain functionality reaching a state of mind’s sense of acute awareness. The reflexivity’s functionality has been recognized as valuable to improve professional practices. The main gap in research and literature is to explicate how to do reflexivity and most of all, how to apply it to all aspects of human life toward self-actualization. This research aims at answering at: How to Do reflexivity and Self-Reflexivity? To answer this question a 17 year-long longitudinal Action-Research investigations reveals how to learn and practice reflexivity. This paper also reveals how reflexivity can be applied to aim at one’s well-being and self-actualization. The discussion addresses the long-term impact of practicing reflexivity coupled with mindfulness as an ability to reach self-liberation.
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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 | 0.027 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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; 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".