Bibliographic record
Abstract
Bringforthist therapy extends the systemic practices of Interventive Interviewing and applies the relational focus of the IPscope. We elaborate upon these frameworks, highlighting their sensitivity to locally shaped needs of family members through the notions of relational preferences and relational pain. Relational preferences refer to family members' normative expectations about their relationships (relationship "shoulds"), while relational pain refers to family members' experiences of unfulfilled hopes vis-à-vis their culturally situated relational preferences (relationship "can'ts"). We distinguish seven variations of unrealized preferences, which are aggravated by differing pathologizing patterns of interpersonal interaction. We label these as seven "M's" of relational pain: Misjudging, Misaligning, Misrecognizing, Misappropriating, Mistreating, Mistrusting, and Misgrieving. We discuss each of these in relation to seven corresponding "R's" that could bring forth relational healing, namely Reappraising, Realigning, Recognizing, Reappropriating, Revealing, Reconciling, and Re-membering. In addition, we outline prototypical interaction patterns to illustrate how these different forms of pain might be addressed.
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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".