Child helplines: how social support and controllability influence service quality and well-being
Bibliographic record
Abstract
Purpose The authors investigate how employee social support impacts children’s perceptions of service quality of a child helpline chat service and the chatters’ immediate well-being. Specifically, the purpose of this study is to examine how action-facilitating support, nurturant support and emotional reflections influence the children and to test whether this impact varies depending upon the controllability of the issues discussed. Design/methodology/approach The authors develop hypotheses about the influence of social support and controllability on children’s perceived service quality and well-being. Chat conversations are coded on the social support given by the employee and the controllability of the issue. Questionnaires are collected to measure children’s service quality and well-being. Using structural equation modeling, hypotheses are tested with a sample of 662 children and chat conversations of a child helpline. Findings The study reveals that for children chatting about controllable issues, nurturant support and negative emotional reflections negatively influence the immediate well-being of these children. Positive emotional reflections positively influence immediate well-being. For children chatting about uncontrollable issues, nurturant support and negative emotional responses positively influence the perceived service quality. Originality/value This study contributes to the services marketing literature by broadening the current understanding of the impact of social support on children’s service quality perceptions and well-being, and by showing how this impact is moderated by the level of controllability of the issue 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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| 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".