Development and Use of The Organizational Framework For Exploring Nutrition Narratives
Bibliographic record
Abstract
A hermeneutic phenomenology was undertaken to explore eating and feeding experiences with 11 women living with changed health status and who had household feeding responsibilities. Thematic analysis yielded two distinct narratives; those in Life-the-Same (LS) group (n=3; participants whose lives were relatively the same after a period of adjustment), and the Life Altered (LA) group (n=8) (those whose lives were completely altered as a result of their condition). Participants in the LS group had adjusted to new dietary, exercise, and medication routines, achieved physiologic goals, and retained eating and feeding routines at and away from home. Participants in the LA group experienced profound changes in ingesting and digesting food, and eliminating waste, physical appearance, and in enjoyment of eating, and rarely left home. Anticipated physiologic effects of dietary change were not achieved due to physical deterioration. Family and friends took on feeding duties when the regular ‘feeder’ was acutely ill, however, participants resumed these roles as soon as they were able (even though they remained unwell) owing to the strength of role identification. The Organizational Framework for Exploring Nutrition Narratives (OFFENN) emerged from the analysis, and is comprised of four domains (Personal; Household; Beyond Household; and Unthoughts), and four filters (Events/Facts; Values/Beliefs; Actions; Emotions and Reflections). The framework offers a means to explore clients’ narratives and to invite conversations about eating and feeding; it is not meant to be prescriptive of dietary guidance, and has application in dietetics education (in preparing students for their counselling roles and in informing research).
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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 | 0.026 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.006 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| 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".