Citation matters: mobilizing the politics of citation toward a practice of ‘conscientious engagement’
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
An increasing amount of scholarship in critical, feminist, and anti-racist geographies has recently focused self-reflexively on the topics of exclusion and discrimination within the discipline itself. In this article we contribute to this literature by considering citation as a problematic technology that contributes to the reproduction of the white heteromasculinity of geographical thought and scholarship, despite advances toward more inclusivity in the discipline in recent decades. Yet we also suggest, against citation counting and other related neoliberal technologies that imprecisely approximate measures of impact, influence, and academic excellence, citation thought conscientiously can also be a feminist and anti-racist technology of resistance that demonstrates engagement with those authors and voices we want to carry forward. We argue for a conscientious engagement with the politics of citation as a geographical practice that is mindful of how citational practices can be a tool for either the reification of, or resistance to, unethical hierarchies of knowledge production. We offer practical and conceptual reasons for carefully thinking through the role of citation as a performative embodiment of the reproduction of geographical thought.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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