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
Composite ethnography is a methodological proposition developed by the Concordia Ethnography Lab (CEL) as a way to collectively engage with objects that we know to be multiple. By “taking seriously” the proposition from Science and Technology Studies that the world is enacted through our encounters, our collective research endeavour begins from the principle that collective forms of research produce a world of collectives. For the past two years, as part of EMERGE Matrix’s commitment to building the infrastructures for experimental and collaborative ethnography, a heterogeneous group of researchers at the CEL has been trying to turn such a philosophical commitment to research into an actionable ethnographic protocol. The resulting paper, as well as its accompanying zine and video, depicts The Pit, a project whose endeavour was to use composite ethnography to collectively explore a post-extractivist site in Montreal as a space for future-making. In this paper, we describe the steps towards the composite, showcasing the practical, pedagogical, ethical, and epistemological issues that arise when trying to render the tacit explicit in collaborative ethnographic research, including the tensions between normative ideals on what ethnography is and the challenges of making messy research processes travel.
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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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