An Episode of Your Life: Rich narrative engagement with episodic stories
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
This article describes a new practice map, an “Episode of Your Life”, which adapts existing narrative “… of life” practices to an episodic story from a person’s life using metaphors from film and television production. This practice map draws significantly on ideas of “peopling the room” and the Team of Life in order to scaffold safety in imagining the process of telling painful stories through the collectivising of the storytelling process. This practice map specifically does not require that the storyteller tell the story, but rather invites them to imagine how they might tell a story from their life in a way that aligns with their values, hopes and preferred storylines. Some of the significant effects that we discovered were related to the richness of the visual metaphor for adding another layer of possible meaning-making in the storytelling process, and allowing for a “proliferation of what’s possible” in the imagining of the storytelling, such as through the use of time jumps; computer-generated imagery; inviting rich descriptions of preferred relationships, histories and values; and dignifying of stories that otherwise might be left unspoken. Participants were left with a feeling of solidarity and a “safe riverbank” from which to imagine telling their stories.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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