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Record W2153506570 · doi:10.1177/0899764000291008

Charity Begins at Home: Family Firms and Patterns of Community Involvement

2000· article· en· W2153506570 on OpenAlexaff
Reginald A. Litz, Alice C. Stewart

Bibliographic record

VenueNonprofit and Voluntary Sector Quarterly · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTypologyPublic relationsService (business)Family businessBusinessCommunity organizationPropositionMarketingEconomic growthSociologyPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Research on philanthropy has made major advances in recent years; however, one issue remains largely unaddressed: the relationship between intraorganizational family-based relatedness and firm philanthropic involvement. The authors seek to remedy this gap by offering and testing the proposition that family firms are more likely to pursue philanthropic involvements. Using a recent typology of family firms, the authors report on the community involvement activities of more than 300 small community hardware stores. Given the small, informal nature of operation and community activity, the authors explore not only their philanthropic activity but also broader community involvement in such areas as business, youth, religious, and service organizations. An interesting trend emerges; firms reporting greater levels of family involvement report greater levels of community involvement than firms identifying themselves as nonfamily enterprises. The authors conclude by reflecting on what this finding suggests for future philanthropy research.

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.023
GPT teacher head0.215
Teacher spread0.193 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations58
Published2000
Admission routes1
Has abstractyes

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