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Record W74406310

Wal-Mart Is Looking for In-Store Partners Again

2004· article· en· W74406310 on OpenAlexaboutno aff
Steve Cocheo

Bibliographic record

VenueABA banking journal · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBanking Systems and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsHonorBusinessAdvertisingCredit cardLogo (programming language)ManagementFinancePaymentEconomicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Dozens of bankers were walking by, passing into and out of the exhibit hall at the ABA National Conference for Community Bankers, but one woman stood out. It was because of her conference badge. On top of the usual ABA ID badge, she had attached her own business card, identifying herself as an employee, not of a bank, but of Wal-Mart. The store's distinctive block-letter blue logo and star really stood out in the crowd. What was Wal-Mart, doing at a community banking conference? Scouting for bank tenant/partners. Lynn A. Ray, the Bentonville, Ark., retailer's new leasing manager for in-store banks in the company's Income Development Department, said that the company had decided to get back into the branch leasing business. What better place to look than where hundreds of community bankers were gathered? Hello banks, we're back As recounted in our May 2003 cover story, Wal-Mart had written its bank lessees a letter in September 2001 announcing its intentions to strike no further deals with banks, though it would honor existing leases. (At the time, there were 908 bank branches in Wal-Mart stores.) Wal-Mart spokeswoman Melissa Berryhill confirmed that Wal-Mart was back in the branch leasing business. She said the program had actually been reinstated for both new and existing stores in July 2003. Berryhill said there had been a bit of falloff in Wal-Mart in-store branches--there are now about 900, she said--but added that the company plans to add 250 new sites in 2004. Terms of the renewed effort remain essentially the same as before. We are trying to locate banks for as many stores as we can where it makes sense both for our business and our customers, said Berryhill. Wal-Mart plans to open 50-55 new discount stores and 220-230 new Supercenters in its fiscal 2004, which began in February. About 140 of the new Supercenters will be relocations or expansions of existing Wal-Mart discount stores. Other divisions, such as Sam's Club warehouse stores, will also be expanding. Berryhill was asked if the return of the leasing effort was a direct result of the failure of Toronto Dominion and Wal-Mart to gain regulatory approval for an in-store partnership. She said this was not the case. We have pursued several different options in the financial services arena in the past, and those attempts, coupled with customer demand, have led us to reinstate the straight lease program. …

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.344
Threshold uncertainty score0.936

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.001
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.3440.137

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.

Opus teacher head0.025
GPT teacher head0.265
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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