Bibliographic record
Abstract
There are many aspects of Catherine Kohler Riessman’s narrative scholarship which have established her international reputation in the field. This contribution pays tribute to the role she has played as a mentor, both through her written work and in her practice. Mentoring, which is time-consuming and painstaking work, is a critical but widely unacknowledged aspect of scholarship, which is often portrayed as an individual endeavor, the accomplishment of the name or names which appear on the publications. The article argues that all scholars are part of a larger cycle, situated mid-stream, between those who have come before and those who will follow. There are many questions surrounding the meaning of mentorship: who should do it and who receive it; if and how it should be institutionalized, calibrated, and recognized; and more. Taking Riessman’s example as its focus, the article critically examines the importance of mentoring and its role in forming, sustaining, and nourishing community.
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 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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.017 | 0.041 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".