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Record W4413283683 · doi:10.1080/0267257x.2025.2547379

Mental illness as consumer vulnerability: ambivalent attachment to the college campus

2025· article· en· W4413283683 on OpenAlex

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

VenueJournal of Marketing Management · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsKingston Health Sciences CentreUniversity of Calgary
Fundersnot available
KeywordsAmbivalenceVulnerability (computing)PsychologyMental illnessSocial psychologySociologyMarketingBusinessAdvertisingMental healthPsychotherapistComputer security

Abstract

fetched live from OpenAlex

In this study, we examine how consumers understand and negotiate mental illness in a marketplace that does not always offer empathy. We employ theory on place attachment and spatial vulnerability to discover how person-place bonds form (or not) when consumers’ agency and power may be restricted in complex, protracted ways. We situate our research in the context of the college campus, mobilising data from semi-structured interviews with 25 college students diagnosed with anxiety and/or depression. Students’ narratives are enriched with their hand-drawn maps of the campus and surrounding community, a process called counter-mapping. Data were interpreted using hermeneutics. Findings show a form of ambivalent place attachment that develops through consumer perceptions of physical, social, and symbolic (in)security. Students’ attempts to regain power within and control over their environment takes the form of often-maladaptive coping mechanisms that threaten students’ personal and academic wellbeing.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.401
Teacher spread0.379 · 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