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Record W1978649869 · doi:10.1080/10495140802111927

Building the Charity Brand Community

2009· article· en· W1978649869 on OpenAlexaff
Derek N. Hassay, John Peloza

Bibliographic record

VenueJournal of Nonprofit & Public Sector Marketing · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsBurnaby HospitalSimon Fraser UniversityUniversity of Calgary
Fundersnot available
KeywordsSupporterBrand communityBrand managementMarketingLoyaltyBrand loyaltyExperiential learningCorporate brandingPublic relationsConceptual modelConceptual frameworkBusinessSociologyAdvertisingPolitical science

Abstract

fetched live from OpenAlex

The current article extends the concept of brand community to the charity sector. While the charity sector has begun to embrace the relationship marketing paradigm, brand communities represent a unique form of relationship marketing that can have a significant impact on nonprofits. A conceptual model of brand community development in the charity sector is proposed, and two unique mechanisms by which charity brand communities might develop — the cognitive and experiential‐learning mechanisms — are proposed. Not only do these mechanisms offer unique insights into how brand communities might develop, but they also explain how “sense of community” becomes a dominant influence on supporter loyalty. Research propositions concerning the influence of specific markers of brand community upon charity support behavior, are also presented.

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)0.015
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.272
Teacher spread0.223 · 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 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

Citations57
Published2009
Admission routes1
Has abstractyes

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