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Record W4410242472 · doi:10.1002/cprt.32305

Brookshire Brothers Inc.

2025· article· en· W4410242472 on OpenAlexaboutno aff

Bibliographic record

VenueCorporate Philanthropy Report · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Corporate Philanthropy Report succeed in the classroom.BPIE helps to increase access to mentoring relationships that support students' academic and personal achievements.In addition, ADI encourages and rewards philanthropic activities among its employees.Much of this is done through a Community Activities Board, a global network of ADI employees founded in 2022 that works to facilitate employee engagement initiatives that promote culture, recreation and social welfare in communities where ADI has operations.The Analog Devices Foundation offers a match for employee donations to eligible charitable groups.In 2023, ADI employees helped support local communities through volunteerism with a wide variety of community groups, with focus areas ranging from science, technology, engineering and math education and female empowerment to housing security, veteran and children's health support and environmental and animal welfare.Some examples of this include:• World Food Day.In 2023, ADI employees in nearly two dozen cities around the world donated nearly 5,000 pounds of food and more than $100,000 for World Food Day.For example:• In Vancouver, Canada, employees ran a months-long online fundraiser for the Greater Vancouver Food Bank, raising about $3,000, which was matched by the foundation.• In Burlington, Vermont, employees collected approximately 700 pounds of food as well as cash donations to benefit Aunt Dot's Place and Colchester Food Shelf, local nonprofits supporting food insecurity.• The Holiday Kindness Campaign.This brings together ADI employees who collect and donate cash contributions and gifts to be distributed to those in need during the holiday season.The 2023 Holiday Kindness campaign surpassed the previous year's totals, including in the number of participating offices, the number of children sponsored and the number of toys donated.For example: • In the U.S., ADI employees in Wilmington, Delaware, collected 250 toys for 87 foster children through the Department of Children and Families' Holiday Kindness campaign.• In the Philippines, the company's workers held a holiday party for 27 orphaned children at the Bukid Kabataan Center.• In the U.S. and Ireland, employees in Dublin, Limerick and San Jose, California, collected more than 200 children's toys for the Redemptorist Christmas Appeal, St. Vincent de Paul of Limerick and Dublin and Toys for Tots.Further information is available 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 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: Other · Consensus signal: Other
Teacher disagreement score0.822
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.8220.641

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 head0.030
GPT teacher head0.246
Teacher spread0.215 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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