The performative manifestation of a research identity: storying the Journey through poetry
Bibliographic record
Abstract
Cultivating a research identity is an arduous journey. We are told to situate ourselves—know where we are coming from—but it is rare that people share their experiences and provide insight into a journey that indubitably shapes your research. In this performative piece, I shed light on my journey to a research identity. I provide an intimate portrayal of the blurring and temporal nature of research identities that is sometimes avoided and often unaccepted. In doing so, I hope to awaken new understandings and provide insight into what can be a direction(less) journey that leads to a sense of positioning. My journey is a tracing rendered through poetry-enhanced prose, which provides aesthetic sensibilities and the possibility for you to enter into and become caught up in our experience. As well, poetry and photography are bestowed in a way to illuminate the performative and dynamic place of my research identity and as a way to visualize and feel the story within this poetical telling. This is a manifestation of performative social science in which the voice is never solely mine and the identity is never conclusive as it continues to unfold and shift through the spaces I inhabit.<p></p>
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 | 0.032 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".