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Record W7033157935

Philanthropy on the First Coast: A Comprehensive Look at Giving and Philanthropy in Metorpolitan Jacksonville

2004· dataset· en· W7033157935 on OpenAlexaboutno aff

Bibliographic record

VenueIssue Lab (Candid) · 2004
Typedataset
Languageen
FieldDecision Sciences
TopicStock Market Forecasting Methods
Canadian institutionsnot available
Fundersnot available
KeywordsFoundation (evidence)PopulationQuarter (Canadian coin)State (computer science)Per capitaCapital (architecture)
DOInot available

Abstract

fetched live from OpenAlex

The Gateway City. The River City. The Bold New City of the South. Florida's First Coast. Ours is an emerging community and these changing monikers reveal much about its evolution. In the last quarter of the 20th century, Jacksonville, Duval County, and the counties that surround it began to move away from sleepy Southern traditions as they experienced unprecedented population growth. The influx of newcomers stimulated a new appreciation of the area's natural beauty and resources. And a new global economy triggered exploration of new economic opportunities. Community leaders began to think regionally, recognizing common interests and challenges best met by common effort.Philanthropy on the First Coast, likewise, is emerging. With population growth has come new wealth, and organized philanthropy in the region has grown exponentially. Of the 320 foundations located on the First Coast, almost half have been created since 1996.Philanthropy on the First Coast, however, is far from mature:Wealth, while present, is not widespread.Individual giving is below both national and state norms.Those individuals who give on the First Coast give generously, but the number of individuals who give is far lower than in other communities.Organized philanthropy, while growing, attracts less capital than in other communities.While new foundation formation is strong, the local foundation community remains dominated by three large, national foundations that are headquartered in Jacksonville. Without them, foundation assets per capita in the region would plummet almost 40 percent, from $1,082 to $656.But philanthropy is gaining traction:There is significant wealth along the water – both ocean and riverfront – and those wealthy individuals demonstrate a strong culture of giving.The area's new foundations, as yet, are thinly capitalized (as are most new foundations). But they carry the potential to be substantial philanthropic assets. Over the next 25 years:, with no additional contributions to capital, the assets of these 146 new foundations could more than double while, at the same time, they could generate almost $300 million in charitable contributions.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.138
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.086
GPT teacher head0.380
Teacher spread0.294 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2004
Admission routes1
Has abstractyes

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