A Searchable Digital Archive of ISSW Proceedings is Available Online
Bibliographic record
Abstract
Have you wished you could look at an ISSW Proceedings volume you missed? Is there an ISSW Proceedings article you wish you could look at or a particular subject for which you would like to see all the ISSW papers? There is now an online archive of all ISSW Proceedings built by the Montana State University Library Digital Collections and the ISSW Steering Committee. The digital archive, on a Montana State University server, is accessed through the ISSW Steering Committee site at www.issw.net or at http://arc.lib.montana.edu/snow-science. The Proceedings are searchable by keyword, author, or title. The archive contains abstracts and papers from 1976-2010. The idea for the digital archive was first presented to the ISSW Steering Committee in 2002. A permanent ISSW website was launched on the avalanche.org server in 2006 and digital versions of the 2002, 2004, and 2006 Proceedings and historical summaries were made available online. The name “International Snow Science Workshop” was Servicemarked in 2008. Work continued in 2008 and 2009 to find an organization to help transfer the Proceedings to digital format and create a database. Discussions between the Earth Sciences Department and the Montana State University Library regarding digital conversion and a physical location for the archive culminated in an agreement with ISSW in 2010. Donated time from numerous volunteers and funds from the American Avalanche Association, the Canadian Avalanche Association and the ISSW Steering Committee led to a completed archive in 2011 as well as commitments for online access to future Proceedings.
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 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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.021 | 0.032 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.018 | 0.008 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.767 | 0.745 |
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".