Biography and turning points in Europe and America
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
Introduction: Advancing the dialogue on turning points ~ Karla B. Hackstaff Unpacking biographical narratives: investigating stories of artistic careers in Northern Jutland, Denmark ~ Feiwel Kupferberg Turning points in the life course: a narrative concept in professional bifurcations ~ Catherine Negroni Conjugal separation and immigration in the life course of immigrant single mothers in Quebec ~ Ana Gherghel and Marie-Christine Saint-Jacques Migration biography and ethnic identity: on the discontinuity of biographical experience and how turning points affect the ethnicisation of biography ~Thea D. Boldt Biographical structuring through a critical life event: parental loss during childhood ~ Gerhard Jost Decisive turning points in life trajectories of violence among young men in the barrios of Caracas: the initiation and biographical reconversion to non-violent lifestyles ~ Veronica Zubillaga The turning points of the single life course in Budapest, Hungary ~ Agnes Santha Complicating actions and complicated lives: raising questions about narrative theory through an exploration of lesbian lives ~ Nikki Ward Religious conversion as a biographical turn/ing: the case of Orthodox believers in contemporary Russia ~ Liana Ipatova Conclusion: theorising turning points and decoding narratives ~ Feiwel Kupferberg.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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