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Record W2087899766 · doi:10.1002/nml.221

Measuring social values in philanthropic foundations

2009· article· en· W2087899766 on OpenAlex
John R. Whitman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNonprofit Management and Leadership · 2009
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsnot available
Fundersnot available
KeywordsVisionConsistency (knowledge bases)Identification (biology)Foundation (evidence)SociologyResource (disambiguation)VocabularySample (material)ChartSocial sciencePolitical scienceComputer scienceLinguisticsLawStatistics

Abstract

fetched live from OpenAlex

Abstract Philanthropic foundations are seen as organizations that allocate resources to achieve their visions of a better world. Drawing on a sample of foundations in Canada, the United States, and Europe, this research undertakes to reveal the social values that constitute such visions and to measure the consistency between espoused social values and those conveyed by resource allocations. A social values identification and measurement instrument is described and tested. The social values that comprise the instrument are presented in a chart of social values. A methodology for measuring the consistency between social values espoused by a foundation and those actually conveyed by resource allocation decisions is described, tested, and critiqued. It is argued that the results of this research provide a basis on which to pursue development of a standardized vocabulary of social values that may enhance understanding and discourse regarding the purposes and work of foundations, as well as provide a basis for cross‐cultural comparative analyses of foundations.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.803
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.446
GPT teacher head0.386
Teacher spread0.060 · 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