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Record W1569084634

Tax Reform and Promoting a Culture of Philanthropy: Guatemala's "Third Sector" in an Era of Peace

2007· article· en· W1569084634 on OpenAlexaff
Archana Sridhar

Bibliographic record

VenueFordham international law journal · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCivil societyPeacemakingPublic administrationDemocracyPolitical scienceThrivingGovernment (linguistics)Latin AmericansState (computer science)ConversationPublic sectorTax reformEconomic growthEconomicsLawSociologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

Three major sections comprise this Article. Part I offers a historical overview of recent Guatemalan tax reform efforts and goals for civil society, based on the 1996 Peace Accords. Part II maps and analyzes the current provisions regarding philanthropy and regulation of the NGO sector in Guatemala, including discussion of the limitations imposed by constitutional doctrine. Part III explores recommendations for Guatemalan reform in the areas of philanthropy and civil society, based in part on the negotiations of the 2006-2007 Pacto Fiscal Commission as well as recent recommendations for Latin America in general. While there has been a burgeoning conversation amongst scholars of Latin America and other parts of the developing world on the topic of law and philanthropy, there has been little (to date) on Guatemala and its legal frameworks for civil society, particularly in the realm of taxation. This Article intends to fill this gap through a study that addresses the Guatemalan context while providing a theoretical discussion that promises to be useful to other postwar, transitioning democracies throughout the global south.

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)0.000
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 score0.598
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.031
GPT teacher head0.272
Teacher spread0.242 · 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

Citations14
Published2007
Admission routes1
Has abstractyes

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