Bibliographic record
Abstract
What is a life well-lived? What decisions will you make to have a meaningful life? What kind of stories will you leave behind? Travel with twenty-three speculative fiction authors through the seasons of life to capture the memories, identities, and moments of stepping through the portal of change, as they cope with their own journeys of growing older. From the moment of birth, through each threshold of our lives, to the moment we take our last breath, we age. Some of us leap into a hopeful future, some cling to the knowns of our former selves, some wander obliviously through the minefields and poppies of change. Something is lost, something is gained in each season. Things forgotten, things remembered. A child redefines identity and belonging in post-Soviet Hungary. A girl blossoming to adult awareness exchanges life for death in rural Canada. A college student chooses between the magic of ancient spirits and the magic of daily happiness in modern Japan. In futuristic India, a mother finds joy in the balance between family and career. Under the Andalusian sun, a mathematician consults his older self in affairs of love. In alternate Tanzania, a husband and wife discover wisdom in memory loss. A robot eases an old man's grief, and a grandmother opens her heart when she listens to her child. And many more hopeful 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.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".