Making Pancakes: Intergenerational Cooking and Remediating the Archive
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
Abstract In Making Pancakes, Alejandra Bronfman remediates the recipe Cakes para el Desayuno as a response to Aceves Sepúlveda’s great grandmother MamáPina’s cookbook. Along with her mother, Marisa Bronfman, her daughters Maia and Nina Dawson, and her partner Alec Dawson as the videographer, Bronfman sets up a cooking event in which three different generations interpret the recipe from their distinct subject positions. For this issue of Public, we propose to transcribe the intergenerational conversations that took place in Making Pancakes to unpack the ways knowledge is transferred from generation to generation and to reflect on the ways in which female domestic forms of writing and familial performative acts can be considered as central foci of the Archive. We will contextualize the transcription with still images from the video and a self-reflective response on cooking as remediation by Bronfman and Aceves.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it