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Record W4408324316 · doi:10.1002/nvsm.70016

Reimagining Value Through Artification: A Conceptual and Theoretical Framework for Philanthropy and Marketing

2025· article· en· W4408324316 on OpenAlexaff
Marta Massi, José I. Rojas‐Méndez, Arianna Pappacena

Bibliographic record

VenueJournal of Philanthropy · 2025
Typearticle
Languageen
FieldNeuroscience
TopicAesthetic Perception and Analysis
Canadian institutionsCarleton UniversityAthabasca University
Fundersnot available
KeywordsValue (mathematics)Conceptual frameworkSociologyMarketingBusinessMathematicsSocial scienceStatistics

Abstract

fetched live from OpenAlex

ABSTRACT Artification, the transformation of non‐artistic objects, practices, or domains into art or art‐like entities, has emerged as a pivotal concept in philanthropy and marketing. This paper develops a conceptual and theoretical framework to examine artification, emphasizing its capacity to add cultural, emotional, and symbolic value across diverse domains. By synthesizing interdisciplinary perspectives, the framework identifies five key components of artification: art infusion, contextual recontextualization, cultural capital accumulation, market and institutional legitimation, and public perception. These elements interact dynamically, illustrating how artification enhances consumer engagement, legitimizes social causes, and elevates brand identity. The framework highlights artification's implications for the third sector, where it strengthens advocacy efforts and fosters emotional resonance, while also critically addressing tensions between authenticity and commodification. This research contributes to understanding artification's transformative potential, offering practical insights for organizations aiming to integrate art into their strategies for differentiation, legitimacy, and societal impact.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.356
Teacher spread0.319 · 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 designTheoretical or conceptual
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

Citations2
Published2025
Admission routes1
Has abstractyes

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