ATALM annual conference on Indigenous Archives, Libraries, and Museums
Bibliographic record
Abstract
Purpose – This paper aims to summarize the Association of Tribal Archives, Libraries and Museum’s (ATALM) 7th annual conference events and focus on best practices in indigenous archives, libraries and museums. The city Palm Springs, California, played host to an “eventful” ATALM 2014 international conference which featured diverse range of activities, namely, poem reading from personal collection, melodious flute playing by native players, an open house and cultural evening at a tribal museum, etc. The conference brought together 520 registered delegates from the USA, Canada and Mexico. Design/methodology/approach – This report is an outline of selected ATALM 2014 conference events in Palm Springs based on the theme “Indigenous Archives, Libraries and Museums”. It summarizes selective events, namely, onsite workshops and poster session. Findings – The conference focused on indigenous culture, as the participants discussed challenges and opportunities in sustaining cultural sovereignty of native nations. The hands-on or interactive labs/workshops were centered on the activities and needs of tribal archives, especially on preservation of cultural heritage. As a Fulbright scholar, the author was interested to know about American tribal history, indigenous culture, native archives and libraries, and excited to see the country’s desert scenery. Additionally, ATALM scholarship/financial support encouraged the author to attend the conference, and finally, the heat of the desert which accentuated the beauty of Palm Springs makes a complete experience. Originality/value – The ATALM conferences are the important conference because of the participation of large number of tribal libraries and cultural heritage keeping organizations serving indigenous population. The ATALM 2014 covered areas like successful collaborations between tribal and non-tribal organizations, and building strategic networks among outside and within the communities.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.142 | 0.029 |
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".