The Pan-American Nikkei Association: A Report on the Tenth and Eleventh Meetings
Bibliographic record
Abstract
The Pan-American Nikkei Association (PANA), founded on December 6, 1981 in Lima, Peru, is an organization of Nikkei who have established communities in Argentina, Bolivia, Brazil, Canada, Chile, Columbia, the U.S., Mexico, Paraguay, Peru, the Dominican Republic and Uruguay. Reminiscent of the early mutual aid associations among the early immigrants these countries, PANA fosters cooperative activities among the Nikkei as stated in its bylaws: to promote the international cooperation among its members in various corporate projects, resources and the exchange of experiences. According its bylaws, PANA supports research on Nikkei history, particularly the socioeconomic contributions and functions of Nikkei within each country, and promotes the dissemination of Japanese culture in general. With eyes on the future, PANA encourages youth participation and fosters exchange activities. Finally, PANA provides mutual assistance in case of emergencies or natural disasters.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".