Bibliographic record
Abstract
Using examples from qualitative health research and from my childhood experience of reading a poem about a boy devoured by a lion (Belloc, 1907), I expand on a framework for reflexivity developed in Bischoping and Gazso (2016). This framework is unique in first synthesizing works from multidisciplinary narrative analysis research in order to arrive at common criteria for a “good” story: reportability, liveability, coherence, and fidelity. Next, each of these criteria is used to generate questions that can prompt reflexivity among qualitative researchers, regardless of whether they use narrative data or other narrative analysis strategies. These questions pertain to a broad span of issues, including appropriation, censorship, and the power to represent, using discomfort to guide insight, addressing vicarious traumatization, accommodating diverse participant populations, decolonizing ontology, and incorporating power and the social into analyses overly focused on individual meaning-making. Finally, I reflect on the affinities between narrative – in its imaginatively constructed, expressive, and open-ended qualities – and the reflexive impulse.
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.
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 | 0.118 | 0.066 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads 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".