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
Autoethnography is a qualitative research methodology that centers self in social and cultural analysis. Building on the emerging study of inner work in systems transformations, this article explores the potential contributions of autoethnography as a methodological companion to systems analysis. By layering excerpts from an autoethnography exploring my maternal family’s history as Finnish immigrants to northern Ontario, Canada with conventional academic prose, I model what this approach might look like and discuss its relationship with established systems approaches. In writing this piece, my intentions are exploratory: what can we learn from those who study and practice systems change if they turned their gaze inward and revealed their journey for others to learn from? Using an autoethnographic approach, I surfaced nuanced understandings of highly complex social and cultural processes. In particular, a previously unexamined connection to ancestry and cultural identity emerged through sauna stories told by female relatives and my own introspection into a life-long relationship with sauna bathing. The partial, dynamic narratives resulting from this work better match our incomplete understandings of complex systems and can even transform the lives of those engaged in systems change.
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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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