Community Archive as a Platform for Development and Preservation of Intangible Heritage—the Community Archives Project
Bibliographic record
Abstract
BG archives have initiated the Community Archive Project, the objective being to create communal archives that will prepare the material for researching Israeli development towns and Bedouin communities from the bottom – up, fully digital and accessible online. Bedouin towns and development towns are home to thousands of Israelis, and their role in the historical development of the state of Israel is clear. That said, their particular stories have yet to be told, mainly due to the absence of accessible documentation. This ―silence of the archive‖, as it is called in archival studies, inhibits the development of effective research and creates the false impression that ―what you see is what you have‖. Because of the ―silence of the archives,‖ these communities have been portrayed in a similarly passive fashion in public discourse and scholarly research. Their natural growth and development, propelled by internal dynamics as organic communities with ―bottom up‖ growth, has, until now, received little attention from researchers. This project aims to address this gap and to enrich the historical record by including the archival collections of the development towns themselves. The project leans on the theoretical framework and moral motivation of the Canadian concept of Community Archive. We acknowledge that the fundamental challenge for this project is to create authentic archives that will reconstruct the silence of the archive. This paper discusses the meaning of this core challenge, the solutions we formulated and the significant impact this project is expected to have on the thriving field of Israel studies.
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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 | 0.011 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".