Connecting Narrative and Social Representation Theory in Health Research
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
According to narrative theory, human beings are natural story-tellers, and investigating the character of the stories people tell can help us better understand not only the particular events described but also the character of the story-teller and of the social context within which the stories are constructed. Much of the research on the character of narratives has focussed on their internal structure and has not sufficiently considered their social nature. There has been limited attempt to connect narrative with social representation theory. This article explores further the theoretical connections between narratives and social representations in health research. It is argued that, through the telling of narratives, a community is engaged in the process of creating a social representation while at the same time drawing upon a broader collective representation. The article begins by reviewing some of the common origins of the two approaches and then moves to consider a number of empirical studies of popular views of health and illness that illustrate the interconnections between the two approaches. It concludes that narratives are intimately involved in the organization of social representations.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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