Embodying the crone, transformation and a woman's rite of passage
Bibliographic record
Abstract
This study, based on Interpretive Interactionism, explores transformation connected with the Craning rituals of four women. Through private in-depth interviews, women shared their deeply contextualized stories of Craning. Based on the interviews, a narrative--including points of transformation connected with her ritual--was created for each woman. As a coparticipant, I have shared how my own story may have influenced my interpretation of and interaction with these stories of Croning. From the narrative themes--"Creating a Positive Aging Experience", "Crossing the Threshold into WOMANhood", "Process of Acknowledgement and Clearing to Make Way for the New", and "From Mother to Crone, Embodying the Crone Energy"—two main themes sprang: Womens' Rites of Passage and Embodying the Crone Archetype. These themes are discussed and information is offered from both the popular and academic literature, about ritual, transformation, Croning, Archetypes, and Rites of Passage.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.036 | 0.038 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".