“I Haven’t Given Up and I’m Not Gonna”: A Phenomenographic Exploration of Resilience Among Individuals Experiencing Homelessness
Bibliographic record
Abstract
Resilience is a factor related to positive health outcomes. Exploring this concept among adults experiencing homelessness can inform interventions while subsequently considering individuals’ strengths. A phenomenographic approach was applied to examine this concept among a sample of 22 individuals involved in qualitative interviews. The phenomenographic inquiry identified eight conceptions and found resilience is captured in both positive and negative ways. Conceptions are summarized by two categories, situated in an outcome space which describes the overall resilience experience and the different ways these conceptions are understood and experienced. Categories summarize conceptions as Staying Strong and Sustaining Positive Beliefs, which highlight the construct as being captured by a persistent positive aspect; however, the findings also uniquely describe the influence of negative conceptions toward the overall phenomenon. The findings suggest resilience is recognizable during adversity, and it is a phenomenon that has the potential to be strengthened.
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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 | 0.018 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".