Embodied Knowledge: A Reflexive Account of Negotiating and Integrating Insider–Researcher–Practitioner Identities During a Bereavement Study
Bibliographic record
Abstract
Embodied knowledge and grief are often unaddressed in academic training and education. This article presents a reflexive and critical account of the author’s experience conducting a qualitative study on bereavement accommodation as an insider, researcher, and practitioner. Approaching herself as an object of inquiry, she considers the way her identities engage with the knowledge being generated, and the discrepancy between the values she was promoting in her work and the pressures to replicate ideologies about productivity and autonomy. The author outlines a methodological approach that applies feminist ethics beyond the data to account for the researcher and research process. The implications of placing care at the center of the labor process are discussed, including: (a) attending to embodied knowledge, interdependence, responsibilities, and invisible labor, (b) developing, implementing, and evaluating a care plan, (c) distinguishing participant and researcher voices, and (d) contributing to collective efforts to enhance bereavement care and education.
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 | 0.009 | 0.006 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".