Stories of mid-life career women with cancer: constructing moral identities in everyday talk
Bibliographic record
Abstract
This thesis reports the results of a study of stories told by mid-life career women with cancer in Calgary, 2003. An interpretivist approach is used to increase understanding about the role of communication in the social construction of survival. This research focuses on the socially constructed self displayed in dialogic communication. Using narrative methodology and drawing on a corpus of 6 patient-to-patient interviews, this paper demonstrates that: (a) interpersonal communication in narrative forms constitute self identity, and (b) storytellers actively construct moral identities following cancer experience. Drawing on aspects of narrative identity advocated by Ricouer (1984 & 1992) and moral identity advocated by Gergen (1998) I illustrate how narrative methodology may be applied to examine how people deal with cancer by telling stories. This research reveals that post-modem narratives link the mind, the self, and society and enable people to deal with cancer by constructing moral identities for the self.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".