All Things Considered: A Collaborative Critical Autoethnography of Emerging Racialized Scholars
Bibliographic record
Abstract
The literature is rife with problematizations of researcher positionality ( Lin, 2015 ; Milner IV, 2007 ; Sheldon, 2017 ). The discussion of positionality ranges from researchers not acknowledging their own and others’ positionality ( Lin, 2015 ; Milner IV, 2007 ), being aware of the position of research studies one reads ( Lin, 2015 ), or not continually deconstructing one’s own identity throughout the course of the research they conduct ( Sheldon, 2017 ). We confront the issue through the lens of a collaborative critical autoethnography between burgeoning researchers. As racialized cis-women in the academy, we examine our experiences through the interstices of belonging – nominally excluded from belonging in both the academy and the community. Through this work, we confront the question of how we, as racialized cis-women in the academy, confront and navigate the complex dynamics of race, class, and gender when approaching research in our own communities. Our experiences are framed within critical race theory, which assists in demonstrating the ways in which the racialized and gendered dynamics of marginalization in an seemingly inclusive academy are contrasted with the racialized and gendered dynamics of inclusion in ostensibly exclusionary communities. This work extends our knowledge of how individual researchers begin to make sense of it all. Moreover, through this work, our hope for this paper is for those in academia to see themselves, or their colleagues, but also to serve as validation for those yet to come who share these tensions.
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 | 0.031 | 0.084 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".