Another fork in the road: the experiences of retired teachers and nurses living in Northeastern Ontario.
Bibliographic record
Abstract
Canadian women born after the Second World War, between 1945 and 1964, were both credited and criticized for their roles in challenging traditions and forging life pathways that were different to those before them. In recent decades, this cohort has been entering their retirement paths. This qualitative study explored stories about how some women were living the transcendent stage of later life in rural and small towns in Northeastern Ontario. Using a feminist narrative approach, twenty-one primarily boomer women were interviewed by telephone, using semi- structured questions. The women had retired from teaching or nursing, accomplished professional designations in their jobs, and lived in the target areas. Braun & Clarke’s (2022) reflexive thematic analysis was followed to generate codes and themes. Ten themes emerged: 1) how do I feel at this stage of my life?, 2) it’s my life, my time., 3) where did my identity go?, 4) what do I do now?, 5) the impact of gender roles on participants’ stories., 6) options for retirement and feelings about this life event., 7) expectations for the next fork in the road., 8) connection and purpose., 9) the importance of health-financial, mental and physical., and 10) let go, take the plunge. The results of this study supported the literature regarding retirement pathways; however, this group mainly identified with transitional or continuity models. Freedom to make choices, unencumbered by the rules of a job, resonated throughout the results. Data highlighted the importance of community and family involvement for overall health and wellbeing. This resilient group determined that they would learn new things and adapt to ongoing physical and mental health issues through staying busy and maintaining relationships with family and friends. Key words: Women, Retirement, Baby Boomers, Professional, Northeastern Ontario, Retirement pathways.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".