10.1177/1049732303262634ARTICLEQUALITATIVE HEALTH RESEARCH / April 2004Montbriand / SENIORS ’ SURVIVAL TRAJECTORIES AND THE ILLNESS CONNECTION Seniors ’ Survival Trajectories and the Illness Connection
Bibliographic record
Abstract
In a recent life history research, 100 out of 190 randomly selected seniors from a Canadian prairie city determined that their lives were survival trajectories, many with connections to their present illnesses. Seniors told of surviving the Great Depression and World War II, making hard decisions, and experiencing adversities that changed their life courses and per-ceptions. Completed in 2003, this 5-year study consisted of two phases. The first phase, an ethnomethod, sought the meaning seniors ascribe to illness and healing. The second phase was a reentry of the initial data. Highlighting seniors ’ stories shows how hard decisions evolved and contrasts can be made in seniors ’ narratives. Through seniors ’ analyses of their own lives, findings in this inquiry demonstrate how the price of survival is embedded in ways of perceiving adverse experiences. Those who avoided facing adversities in making dif-ficult decisions were those who now blame illnesses on life experiences.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.948 | 0.825 |
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".