Sonoma State University's North Bay Historic Preservation Digital Collection: Starting a Digital Project
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A number of years ago, a staff member in the Sonoma State University (SSU) Library’s regional and special collections department discovered a box of mounted photographs and accompanying display material of Sonoma County sites. A bit of detective work led to further identification of these photos as part of a larger compilation of materials associated with History 362, a course offered at SSU in the mid-1970s. More recently, additional materials were connected to this original discovery, including photo negatives, proof sheets, and some slides; a dozen audiotaped interviews of Sonoma County residents; student papers on the architectural styles of buildings in the county; resource inventories of historic county sites; and files from the offices of two history professors who were involved in the work to create these documents. And History 362 wasn’t the only course with which various documents were associated. The organization of materials continues to this day, but the regional and special collections department staff has managed to piece together most of the history of this unique collection.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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 it