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
In August 2018, there was a female orca who carried her dead calf to the surface of the Pacific Ocean for seventeen days. This kind of behavior had never before been documented. When the orca needed to feed or rest, her pod helped her carry the burden. During this time, the pod travelled more than 1,600 kilometres with the dead calf. Researchers say the orcas were in mourning and called this time their ‘Tour of Grief.’ Orcas are enormous mammals with the capacity to feel deep emotion. To Laura Quigley, this story speaks to the enormity of a mother’s heart and her fierce strength. It also speaks to the bond of the pod and their instinct to support one another, especially in the darkest moments. When Quigley gave birth to her second baby, she was struck by how isolated she felt. She was away from colleagues and many of her friends, and she lived far from her family because of her work. In speaking with so many mothers since writing this play, she understands that she was not alone in this feeling of segregation. As new mothers, we are without pods. The Waves dives into under-represented territory: loss of identity in motherhood, postpartum depression, and the rebuilding of self after giving birth. The text is poetic, raw, and urgent and explores ways the human voice can initiate understanding and connection between performer and audience, between humans. In this way, the text contains a detailed description of vocal sounds that depart from language, invoking the performer to explore relationship and communication beyond the conventions of speech and silence.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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