The empirical-phenomenological research framework: Reflecting on its use
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
Background and objective: Descriptive phenomenology when used within the tradition of Husserl offers the qualitative researcher a unique perspective into the lived experience of the phenomena in question. Methods of data analysis are often seen as the theoretical framework for which these studies are then focused. However, what is not realised is that the data analysis tool is merely that a tool for which to delineate the individual narratives. What is often missing is a research framework for which to structure the actual study. Therefore, the aim of this paper is to offer a reflective account of how the empirical-phenomenological framework shaped and informed a descriptive phenomenological study looking at the lived experience of male nursing students as they journey though the under-graduate nursing programme.Methods: A reflective narrative was used to examine and explore how the empirical-phenomenological framework can be used to support method construction within a descriptive phenomenological study.Results and conclusions: The empirical-phenomenological research framework aims to provide a practical method for understanding and valuing the range and depth of descriptive phenomenology, in particular the lived experience. Used in combination with specific phenomenological data analysis models the empirical-phenomenological framework is structured to support the qualitative research process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.085 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it