Clients' Attributions of Recalled Important or Helpful Events in a Counseling Interview
Bibliographic record
Abstract
Clients' causal explanations for recalled important or helpful events between those of early and of late sessions of counseling interview have been examined. We predicted that (a) for clients' recalled important or helpful events, there will be more internal attribution in late than in early sessions and (b) clients' evaluation of counseling sessions would be positively related to their internal attribution of the recalled important or helpful events. Data were generated from 84 sessions of therapy, with 12 counselor-client dyads conducting seven sessions of therapeutic interviews each. Immediately after each interview, clients were requested to recall and explain the most important or helpful events that happened during the session. Clients' causal explanations of the events were analyzed by two trained judges. Results showed no statistically significant differences in frequencies of internal attribution. Similarly, internal attribution did not covary with clients' evaluation of counseling sessions. The implications of the results are discussed.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.017 | 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".