Expanding the Orbit of Maya Culture: Creating a Non-Profit in the United States
Bibliographic record
Abstract
Archaeologists Without Borders of the Maya World (AWBMW) is a Mexican non-profit organization focused on promoting and preserving Mayan history, particularly archaeological sites and tangible culture. To assist its mission, AWBMW wants to be able to solicit donations from U.S. entities to assist in spreading awareness of Maya culture worldwide. Using the U.S. tax code and laws from state of Georgia, this article outlines the legal steps and strategies a foreign non-profit organization must consider when desiring to start a non-profit organization in the United States. Strategies on opening a U.S. branch of an existing foreign non-profit, linking a new non-profit in the U.S. to a foreign one, and how to achieve tax exempt status are considered. For AWBMW the best course of action would be to option a branch of its existing Mexican non-profit in the United States. The same processes described in this article may be used for other heritage-based non-profit organizations seeking to establish a U.S. presence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".