Testing the Impact of Brief Counseling on Non-Urgent Client Self-Esteem, Social Connectedness, Recommending Their University and Active Alumnus Intent
Bibliographic record
Abstract
The purpose of this study was to test brief counseling impact on four outcomes. Two outcomes, self-esteem and social connectedness, were more typical for a University Counseling Center (UCC) to address. However, two other outcomes were more related to a university’s academic mission, i.e., recommending the university and active alumnus intent. Using a longitudinal sample of 60 matched non-urgent undergraduate clients at a UCC, brief counseling increased all four outcomes: social connectedness, self-esteem, recommending the university, and active alumnus intent. For this study, brief counseling was defined as a median of three counseling sessions after intake (range 1 to 8) over a median period of six weeks (range 4 to 10 weeks). In addition, these scale means were compared to a control group of business undergraduates not in counseling. The counseled sample at Time 2 compared favorably to the non-counseled sample on recommending the university and active alumnus intent. To better support its students’ success and university enrollments, UCCs need to consider new avenues to promote their advocacy by gathering data more directly connected to a university’s mission.
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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 | 0.002 | 0.007 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".