New Mexico's 1998 drive‐up liquor window closure. Study II: economic impact on owners
Bibliographic record
Abstract
AIMS: This study examined the economic impact of the New Mexico legislative action closing drive-up liquor windows on the retail establishments that operated them. DESIGN: A telephone survey was conducted 20 months after the closure seeking information and owners' opinions about how their outlets had changed since the closure and how this affected their business. In addition, 2 years of aggregated pre- and post-closure total gross receipts revenues were obtained from the New Mexico Taxation and Revenue Department, with convenience stores as a comparison group. FINDINGS: Interviews were completed for 149 of 220 establishments. Over one-quarter of former drive-up liquor windows (28%) had been converted to 'step-in' sales, defined as an outside door where customers can stop and enter the premises while their car is running. Almost two-thirds (61%) of owners reported decreased annual gross revenues following closure, with a reported average 15% reduction in alcohol sales. This is consistent with findings of decreased gross receipts for operators of non-urban, but not urban, drive-up liquor windows compared to convenience store gross receipts. Almost three-quarters (72%) of those surveyed would re-open the drive-up window if the law were rescinded. CONCLUSION: Over one-quarter of the drive-up owners converted to step-in alcohol sales that still allow a form of drive-up liquor sales. Despite this, the forced closure of New Mexico's drive-up liquor windows negatively impacted total sales and liquor sales revenues of establishments that operated them.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".