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Record W4389192098 · doi:10.22215/etd/2023-15654

Should I Stay or Should I Go? Ambivalence and the Opposing Forces of Nostalgia and Optimism in Recovery from Addiction

2023· dissertation· en· W4389192098 on OpenAlex
Mackenzie Dowson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsCarleton University
Fundersnot available
KeywordsAmbivalenceOptimismAddictionPsychologyAlcohol addictionPsychotherapistClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Research has shown that nostalgia prepares individuals with addiction for change, however, the current thesis examines nostalgia’s negative impact on those in recovery. Three studies were conducted: the first included (N= 304) individuals recovering from disordered gambling, the second included (N=604) individuals recovering from alcohol use disorder, and the third included (N=167) individuals recovering from alcohol use disorder over two time points. Participants' addiction-related nostalgia (ARN), optimism, and ambivalence about recovery were measured. Results support the hypothesis that ARN during recovery tempts individuals back to addictive behaviors. Nostalgia hampers recovery, even at high levels of optimism about the future, leading to ambivalence. In Study 3, ambivalence and ARN correlate with higher relapse risk over time. Findings emphasize the need to reduce ARN and foster optimism to promote successful recovery. Future research should explore these effects in clinical populations and among individuals recovering from other addictions or harmful behaviors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.064
GPT teacher head0.354
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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