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
It seems fitting that the recursive, iterative and circulatory dynamics of mediation at the heart of this anthology are matched in pace and connectivity by the processes that brought it to fruition.The project has advanced haltingly but collaboratively over the course of many years, taking a multiplicity of forms and interpellating a number of audiences and participants along the way.Our editorial efforts, moreover, have been matched unevenly by the rapid tempo of the unfolding "migrant crisis," a temporality that made various forms of analysis impossible, even as it pushed us to generate new modes of thinking and academic engagement.Some of our initial thinking was incubated at the Hemispheric Institute's Encuentro in 2014 in Montral / Tio'ti:ke, which helped f lesh out the possibilities and limitations of the concept "trespass" (a modality for us to think bodily crossings and mediated borders).We are grateful also to participants in a workshop at the National Women's Studies Association Annual Conference in 2016 that sought to critically examine the representational regimes that frame and instantiate the European "migrant / refugee crisis" and consider the decolonizing potentials of various strategies of counter-mapping, critical reading, and collaborative knowledge production.
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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