Revisiting Open Source Software Development Models for Community-Based Digital Humanities Research Generation
Bibliographic record
Abstract
Enmeshed modes of digital communication are based on public disclosure and the exposed space of the digital, that is to say, where an idea shared is always already an idea utilized by someone else.Background: Community-based practices of open source software development offer a model for enmeshed private-public digital humanities (DH) research that can balance the demands of macro or global digital disruptive forces with the needs of everyday learning communities.Analysis: In the space of enmeshed modes of digital communication, knowledge is not owned, since it is essentially discovery-based.Conclusion and implications: Digital literacy is key for contemporary DH knowledge production, yet also needs to be active (not a passive information technology awareness or ability) about building, making, and improving, as well as functioning within an open environment.
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 | 0.045 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.019 | 0.023 |
| Open science | 0.006 | 0.015 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".