Gendering the Nation and Empire: Anthropological Investigations in Retrospect
Bibliographic record
Abstract
Revealing the gendered dimensions of national experience is indispensible to any scholarly undertaking of nations and nationalism. Grand theories of nationalism often fail to speak to the specific and multiple discourses of nationhood, the intimacies of experience, and the symbolic imageries that undergird national endeavors. An anthropological cognizance of the gendered aspects of nationhood allows for analytic acuity and insight into the complexities of nationhood as it is imagined and experienced from below. A gendered analysis of nations alone, however, does not suffice. I contend that—in addition to gender—anthropologists must also acknowledge the intersection of ‘race’ and ethnicity, class, religion, and other categories of difference, for they are holistic to national experiences. Refracting the nation through prisms of gender, ‘race’, class, and religion better reflects the depth and intricacies of the interdependence of the nation and the subject. Secondly, I also argue that the politics of women have certainly challenged masculinist national dominance, but they have not substantially transfigured the patriarchal understructure of national projects.
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 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".