Missing the Past Eating Disorder: Exploring the Dark Side of Nostalgia during Eating Disorder Recovery
Bibliographic record
Abstract
Behaviour change is motivated by a sense of self-discontinuity with the pre-addicted self because self-discontinuity elicits nostalgic reverie for life before the addiction.To date, these associations have only been tested among people attempting to initiate behaviour change.Herein, I examined whether eating disorder recovery is hindered by feeling that the recovery process has fundamentally altered one's sense of self (i.e., self-discontinuity), thus eliciting nostalgic reverie for the eating disorder.In Study 1, among people in eating disorder recovery, self-discontinuity was negatively associated with subjective recovery and mediated by nostalgia for the perceived benefits of the eating disorder.In Study 2, I manipulated self-discontinuity and then measured nostalgic reverie for the perceived benefits of the eating disorder and subjective recovery.Contrary to predictions, participants manipulated to feel self-continuous (versus selfdiscontinuous) felt earlier in their subjective recovery via nostalgia for the perceived benefits of the past eating disorder self.Keywords: eating disorders, recovery, nostalgia, nostalgic reverie, self-discontinuity, selfcontinuity instrumental in helping me to become a stronger researcher, writer, and presenter.I will leave Carleton University knowing that I learned a lot from some of the most knowledgeable professors in psychology.I would also like to thank Dr. John Zelenski for his kindness
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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 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".