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
Recently, a number of studies have drawn attention to the narrative fabric of autobiographical identity construction. In this process, time plays a pivotal role, both as a structure and object of construction. In telling our lives, we deal not only with the classical time modalities of past, present, and future, but also with the different temporal orders of natural, cultural, and individual processes. We find all forms of linguistic constructions of time, such as tense systems, tropes, anachronies, and the use of specific narrative genres. In this paper, I shall argue that in the process of autobiographical identity construction a particular synthesis of cultural and individual orders of time takes place. The result is autobiographical time, the time of one’s life. For this synthesis the form of narrative is not only the most adequate form, it is the only form in which this most complex mode of human time construction can exist at all. Discussing various case studies, I shall distinguish six different narrative models of autobiographical time: the linear, circular, cyclical, spiral, static, and fragmentary model. To study how people make use of these models in their autobiographical narratives is to investigate how we become immersed into the fabric of culture and, at the same time, express our unique individuality.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.049 | 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