The Wal‐Mart Effect: Wave of Destruction or Creative Destruction?
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
abstract During the past quarter century, large multistore retailers have experienced considerable growth. In this article, we examine the widely held belief that the expansion of these chain stores, Wal‐Mart in particular, has had a large negative impact on the small locally owned retail sector. Our analysis of four types of independent retailer entries and exits in Florida from 1980, prior to the opening of the first Wal‐Mart store in the state, to 2004, reveals that Wal‐Mart's impact varies with independent retailers' market overlap with and proximity to Wal‐Mart. Notably, our findings suggest that within zip codes, the Wal‐Mart effect is driven by the suppression of entry rates, but not by the increase in exit rates, while in adjacent zip codes, it is driven by exit rates increasing more than entry rates. Our results provide empirical evidence that may help economic developers, public officials, and owners of small businesses make informed decisions about economic development in their communities.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it