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Record W881667059

How Can BPI Restore Consumer Confidence in Pink Slime

2013· article· en· W881667059 on OpenAlexaboutno aff
Asbjørn Osland

Bibliographic record

VenueJournal of critical incidents · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsnot available
Fundersnot available
KeywordsProduct (mathematics)Closing (real estate)BusinessAdvertisingMarketingAgricultural scienceFinance
DOInot available

Abstract

fetched live from OpenAlex

The public perception of lean finely textured beef (LFTB) as resulted in Beef Products Inc. (BPI, based in Dakota Dunes, South Dakota) closing its three processing plants in Texas, Kansas and Iowa as of May 25, 2012. LFTB consisted of meat particles that remained after the fat had been mechanically spun out of cuttings. BPI blamed the closures on what it perceived as a smear campaign. Executives stated that the future employment of the 700 people laid off depended on the company's recovery from what it perceived as a PR problem, not a genuine food safety concern. BPI's initial response was to solicit expert opinion from the meat processing industry asserting that LFTB was safe and nutritious, which it posted to its website, and also to stimulate political protest and action. BPI reportedly lost 80 percent of its business within 28 days after ABC broadcasted its pink slime series. BPI sued ABC News, Inc. and others for defamation (Schulte & Eaton, 2012). What could the company do to reassure customers? Processing and LFTB Processed foods often included many unusual items that weren't appetizing (Ecoist, 2012; Izismile, 28 July 2011). One such processed food product was LFTB. It had been added to 70% of America's ground beef until the 2011-2012 media furor. USDA microbiologist Gerald Zirnstein referred to LFTB as in a 2002 e-mail message (Moss, 2009). The negative perspective was subsequently popularized by Jamie Oliver's Food Revolution TV program aired April 12, 2011. He described as composed of leftover cow parts or trimmings that had to be treated with ammonium hydroxide to kill dangerous microbes such as e.coli and salmonella. ABC News gave the story national coverage in 2012. The commercial view of LFTB was that it optimized meat production by making effective and efficient use of beef trimmings (Cargill, June 29, 2013). In 1994 BPI developed its pH Enhancement System to reduce pathogens such as E.coli O157:H7. In 2001 the US and Drugs Administration (FDA) and the US Department of Agriculture (USDA) approved the pH Enhancement System. This gave BPI the go ahead to produce pH enhanced lean beef. In 2007 the International Association for Protection awarded the company the Black Pearl Award, its highest honor, in recognition of BPI's commitment to food safety. Its web site listed other awards as well. Cargill, a large agribusiness, explained that LFTB or what it called finely textured beef was useful because it permitted companies to vary the fat content in hamburger to the specific level desired by consumers; as a staple food for many families, the price of ground beef had to remain low to keep it accessible; and finally, companies saved 26 pounds of beef from every animal. Is the LFTB Process Safe? Ammonium hydroxide, an antimicrobial agent, had been in use in the meat industry for over 40 years and in 1974 an FDA committee concluded that it was safe for use in meat processing. It did not need to be listed as an ingredient since it was used in processing, not as an additive (Entis, 2012). Cargill used citric acid instead of ammonium hydroxide. However, Moss (2009) listed numerous instances where BPI's LFTB products were found unsafe due to pathogenic contamination. However, the World Health Organization and the and Agriculture Organization of the United Nations approved the process (Kislenko, March 24, 2012). Mechanically separated meat, used in the process of making LFTB, had been banned in Europe (Adams, March 28, 2012). Adding ammonia was not permitted in Canada. Change.org Petition Consumers have become increasingly concerned about food safety (Scott-Thomas, May 3, 2011) and within nine days of posting the petition, drafted and proposed by Bettina Siegel on March 6, 2012, over 200,000 people had signed, with the number growing to 258,874. The petition urged the USDA to allow school districts to opt out of using LFTB, which the USDA agreed to as of fall 2012. …

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.314
Teacher spread0.286 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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