Bibliographic record
Abstract
This article explores how digital humanities (DH) projects, specifically the building of digital archives and digital exhibitions, can be implemented to preserve, reveal, and highlight previously invisibilized histories. This piece examines the construction of the Latino/a/x Issues Conference (LIC) archive at Bowling Green State University (BGSU), a public university in rural Northwest Ohio. This article, from the perspective of the archivist, explores the following research questions: How can DH archival projects reveal and preserve invisibilized histories of Latinx students at public universities against a series of constraints and serve as a means of (re)producing latinidad? This case study explores how to utilize the traditional form of the DH digital archive to document and preserve latinidad in institutional archives and advances the notion of digital archiving as a form of first-aid care to address the historical erasure of Latinx communities in institutional archival contexts. In doing so, this article critically examines the process of archiving the BGSU LIC as a means to consider the possibilities and limits of archival intervention, the production and preservation of memory, and the challenges and affordances of descriptive infrastructures that underlie archival work.
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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".