The Pathological Gambler and his Spouse: How do their Narratives Match?
Bibliographic record
Abstract
This case study compares the narratives of a pathological gambler and his spouse concerning family, marital and individual matters. It does so through identifying each of the key players' narratives individually (analysis of self-report questionnaires) and interactively (couples therapy sessions analysis). The results show that the gambler has a rather more positive view of gambling-related issues than does his spouse, and this fact is most apparent when it comes to marital and family issues. The gambler's perspective is less positive when it comes to non-relationship issues (financial and professional issues). A few hypotheses are put forward to explain these results and these are summarized in three effects: denial, idealization/guilt relief, and disappointment/retaliation. Some implications for clinical practice are also identified, such as the need to set therapy objectives which are truly shared by both members of the couple, as well as guidelines for future research, such as studies focused on gender differences.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".