Bibliographic record
Abstract
This interview with Michael White for the Journal of Systemic Therapies consisted of a series of conversations that occurred over a five-year period, beginning on October 22, 2002 and ending October 4, 2007, almost six months prior to his death. All of the interviews occurred following five-day training programs that Michael was teaching at the Hincks-Dellcrest Institute in Toronto, Canada. The initial interview began with Adrienne Chambon, Ph.D., Associate Professor, Faculty of Social Work, University of Toronto and Jim Duvall. Adrienne teaches narrative studies at the University of Toronto. She was unavailable for the second meeting, therefore, Karen Young, who is a BTTC-I faculty member, was asked to join the discussion. Michael was invited to step into the foreground of this conversation by providing glimpses of particular aspects of his life, rendering him more visible to the readers. These aspects of his life provided themes of circumstances that could be illuminated and their influences regarding the development of many of the ideas and practices that constitute what we now identify as narrative therapy, could be better understood. We were particularly interested in Michael's notion of keeping faith, staying true to those important sentiments, learnings, and circumstances in life that clarify what is important that we give value to.
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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 | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".