Bibliographic record
Abstract
The NMCPG manages a 24-hour crisis hotline in English and Spanish (1-800-572-1142). The hotline is posted at various casinos, fraternal organizations, and on lottery cards. It is also advertised on television and radio media. The hotline serves people with gambling problems and the relatives or significant others of problem gamblers. Callers may receive informational materials (e.g., a booklet on Personal and Financial Strategies for Loved Ones of Problem Gamblers), Gamblers Anonymous meeting schedules, and/or referrals to certified treatment providers. The purpose of this part of the study was to describe the recent utilization of the New Mexico Council on Problem Gambling (NMCPG) hotline and the referral outcomes of the calls. Some of the representatives of the NMCPG hotline were contacted to obtain relevant information. Also, hotline data from September 2007 to August 2008 were reviewed and analyzed. 1. How many calls are received each month? The crisis hotline received an average of 795 calls a month during the period of September 2007 to August 2008. The breakdown of calls per month is shown below in Table 1.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.698 | 0.448 |
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".