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.
Bibliographic record
Abstract
Using attribution and balance theories, the authors argue that service employee-customer relationship transgressions are events that can damage particular service relationships. The results of two experiments involving service customers and two different service types demonstrate two different damaging effects of service transgressions—a locus effect and a transference effect that stem from customers' commitment to various relationships with service providers. The findings illustrate the need for service managers to focus efforts on relationship repair alongside service recovery. An examination of two different approaches to relationship repair suggest that proactive approaches (i.e., building customer commitment, such as extra-role relationships with customers) appear to be more effective than more reactive ones enacted in concert with basic recovery efforts. The findings also suggest that while extra-role relationships between service employees and customers entail risks to the firm, since transgressions in these relationships can damage the customer-company relationship, encouraging these relationships can act as a proactive repair strategy since these relationships can also serve to buffer the effects of service transgressions.
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 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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it