Practice 11 Affirmative Care: Leading With Love
Bibliographic record
Abstract
In this chapter Melissa and Sandra draw on the practice of Etuaptmumk, also known as Two-Eyed Seeing, to consider how the Seven Sacred Teachings offered by Andrea Currie in Love in the Midst of Apocalyptic Loss alongside knowledge from eurowestern psychological literature might come together to inform affirmative care. Melissa and Sandra draw specifically on feminist therapy, relational-cultural theory, multicultural counselling, person-centred therapy, and humanist approaches. Affirmative care begins with validation of diverse cultural identities and relationalities and openly acknowledges sociocultural injustices and inequities that negatively influence health and well-being. The Indigenous Teaching of Reciprocity informs affirmative care by inviting counsellors and psychotherapists into relationship with clients as equals, offering mutual respect, learning together, and sharing responsibility. Although affirmative care and reciprocity reflect different epistemological frameworks, eurowestern and Indigenous, each centres a values-based approach to relationships, health, and healing. The Seven Sacred Teachings provide the organizational structure for the chapter, with specific attention to how the Teachings of Love, Honesty, Respect, Humility, and Patience might deepen and strengthen affirmative care. Counsellors and psychotherapists are encouraged to assume a values-based positioning that honours diverse perspectives and enhances relational connections in support of culturally responsive and socially just health, healing, and care. Melissa and Sandra are joined in this chapter by the following co-authors: • Judy Chew provides an example of affirmative care within the feminist supervision process that highlights the respectful and care-filled use of self-disclosure. • Ruth Strunz offers insights into how to attend to neurodivergence in creating affirmative relationships with clients, shared by neurodivergent individuals who have worked with her in therapy.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.029 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".