Diversity, Social Justice, and Accessibility in <i>Grenzenlos Deutsch</i>: Reflections on Digital Curation
Bibliographic record
Abstract
Grenzenlos Deutsch ( GD) is an open educational resource (OER) that functions as a digital archive. Considerations of equity, social justice, and accessibility inform decision-making and workflow at all stages of fashioning the GD curriculum as a no-cost alternative to traditional beginning German textbooks. In this essay, six members of the GD team reflect on digital curation, considering how the team’s collective identities, values, and instructional goals intersect with the processes of creating and curating the curriculum, particularly the production and preservation of audiovisual material such as images, interviews, and videos as learning objects. Although these learning objects constitute a public archive, they also mark events of personal and collaborative significance in the private and professional lives of the GD collective, whose members played varying roles in producing these instructional materials.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.034 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".