Bibliographic record
Abstract
The communication problem call center salespersons in retail banking are facing does not understand what ethical communication is or why it is important. Without this knowledge, they do not have the ability to use ethics when selling products to customers such as a home equity line of credit. This is a detailed product and requires the salesperson to have specific knowledge and skills to properly sell it. These skills include the ability to provide quality customer service, correctly use empathy to build long term relationships with management and customers alike, the ability to adapt and cooperate with change to policies, procedures, and possible changes in their current role, and most importantly the ability to use ethics when making decisions. In other words, for a call center salesperson to be successful they must understand how to ethically communicate while providing a specific sale or service to a customer. The best way to achieve this is through education and training.
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.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.035 | 0.010 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.009 | 0.015 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".