Announced but Not Enacted: Anti-Racist German Studies as Process
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
Abstract In their February 2019 Forum piece in Applied Linguistics, Bhattacharya et al. (2019) present longitudinal evidence that the American Association for Applied Linguistics (AAAL) still struggles to realize core principles of diversity and advocacy despite the passing of its 2013 resolution ‘Affirming Commitment to Promoting Diversity’ (AAAL 2013). They outline several trends in the available institutional data confirming that inequitable practices continue to hinder Scholars of Color from achieving full recognition within AAAL and, more broadly, the international, interdisciplinary field of applied linguistics. Echoing the work of Bhattacharya et al. in this regard, we reflect on parallel concerns in one of the component disciplinary realms of Applied Linguistics, namely the teaching of German language and culture (sometimes referred to as German Studies).
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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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