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Record W4385617193 · doi:10.1002/cprt.31710

Norfolk Southern Corp.

2023· article· en· W4385617193 on OpenAlexaboutno aff

Bibliographic record

VenueCorporate Philanthropy Report · 2023
Typearticle
Languageen
FieldMedicine
TopicLegal Cases and Commentary
Canadian institutionsnot available
Fundersnot available
KeywordsCitationHistoryLibrary scienceComputer science

Abstract

fetched live from OpenAlex

swim training, with the central goal that every child, regardless of their economic circumstances, deserves to learn how to swim.The program provides swimming lessons to children who otherwise might not have the opportunity to learn basic water safety skills.In recent years the company has partnered with several YMCAs across the country to provide the lessons.Since its launch in 2021, the program has committed some $3 million to 21 YMCAs across the country, providing training to over 30,000 children and helping to train about 2,000 lifeguards.The company's workers also support the initiative through campaigns that collect donations of new swimsuits, towels and swim goggles, the lack of which can be a barrier for many families.Another area of support is disaster relief.Poolcorp provides cash contributions to humanitarian relief efforts in communities impacted by natural disasters, such as fires, floods, hurricanes and earthquakes.In 2021, it also launched a new program to support Poolcorp employees who were personally impacted by disasters or other catastrophic events.The program-the Poolcorp Employees 1st Fund-is funded by the company as well as donations from Poolcorp employees and vendors.It provides cash grants to the company's employees in the U.S., Mexico and Canada who meet the program criteria.In addition, Poolcorp employees volunteer with a wide variety of nonprofit organizations serving their communities, whether it's helping to build homes for low-income families, cleaning up and/or refurbishing community parks and public spaces, or otherwise helping to make their communities better places to live and work.These efforts are largely coordinated by the Poolcorp Stewardship Committee, which the company formed some 20 years ago to identify opportunities for employee giving and volunteer service.The company encourages this through a matching gift program that doubles the impact of employee contributions to eligible charities of their choice.In recent years, the company's workers have served with and financially supported groups such as the Special Olympics, Habitat for Humanity, Hope & Heroes, Junior Achievement, the National Forest Foundation, the Northshore Food Bank and the YMCA, among others.Further information can be found on the company's website.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.087
GPT teacher head0.314
Teacher spread0.226 · 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.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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