Longing for Life Before a Recent Sexual Assault: Nostalgia Hinders Well-Being Via the Search for Meaning
Bibliographic record
Abstract
This study explored the adverse effects of nostalgia for one's life before sexual assault (SA) on survivors' health and well-being through searching for meaning.Two studies were conducted with recent SA survivors: one correlational (N = 71) and one longitudinal with two time-points (NT1 = 237, NT2 = 134) spaced one month apart.Results from both studies demonstrated that nostalgia was negatively associated with health and well-being (i.e., more PTSD and negative affect, and less self-compassion, positive affect, and trauma acceptance).Nostalgia was also positively related to searching for (but not finding) meaning in the trauma.In Study 2, nostalgia did not change over the course of one month, but the search for meaning was identified as a mediator between nostalgia and both PTSD and negative affect at each time-point.These results suggest that nostalgia may provide a novel means to enhance recovery outcomes among SA survivors. Keywords: nostalgia, trauma, meaning making, sexual assault Dr. Michael Wohl for believing in my potential and taking me under his wing.His guidance, constructive criticism, and extensive knowledge were instrumental throughout the duration of this work, and I am deeply appreciative of his open-mindedness and willingness to move forward with this research.The day that Michael became my supervisor altered the course of my life, and as I prepare for the next chapter of my academic career as a doctoral student in Clinical Psychology at the University of Ottawa, I am cognizant that the realization of this dream was only possible because of Michael's tutelage and friendship.I am forever grateful to him and will truly miss having him as my supervisor.I would also like to extend my sincere
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".