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Record W3043628087 · doi:10.29173/cjnser.2020v11n1a323

Representative Board Governance: What Role Do Board Directors Have in Representing the Interest of Their Constituents?

2020· article· en· W3043628087 on OpenAlexaffvenue
Anthony Piscitelli, Sean Geobey

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversity of WaterlooConestoga College
Fundersnot available
KeywordsCorporate governanceCLARITYEthosAccountabilityStakeholderPublic relationsAccountingSet (abstract data type)BusinessPolitical scienceCorporate lawShareholderManagementLawEconomicsComputer scienceFinance

Abstract

fetched live from OpenAlex

The current ethos of most nonprofit boards of directors focuses on role clarity between board directors and the executive director. The board’s role is to collectively set strategic direction and provide oversight while leaving day-to-day operations to staff. Yet, many individual directors join a board to make an impact on the organization by addressing very specific operational concerns and/or to represent a stakeholder group, and this creates tension at the board table. This article explores whether there is necessarily a trade-off between the representative and good governance roles of a nonprofit board director. It will demonstrate that the tension between representing member interests and governing nonprofits is a false dichotomy. Reconciling these two interests offers some potential avenues for improved organizational accountability.

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)0.028
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0120.009
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.117
GPT teacher head0.364
Teacher spread0.247 · 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 designQualitative
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

Citations7
Published2020
Admission routes2
Has abstractyes

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Same venueCanadian journal of nonprofit and social economy researchSame topicNonprofit Sector and VolunteeringFrench-language works237,207