Pathway 2 Awakening Critical Consciousness
Bibliographic record
Abstract
In this opening chapter of Pathway 2 Awakening Critical Consciousness, Sandra, Melissa, and Janelle carefully define the terms awakening, critical consciousness, and woke, positioning each within historical contexts of social justice movements, particularly those challenging racism and systemic injustices. The term woke invites the intent to disrupt and dismantle systemic oppression, including white supremacy, at sociocultural, institutional, and political levels. The authors warn that terms embedded in social justice movements are often misconstrued and misappropriated, making reclaiming and clearly defining those terms critical to awakening our critical consciousness as healthcare professionals. They provide concrete examples of enacting woke ideologies in service of inclusivity and justice-seeking for all persons and peoples. The focus of the other chapters in Pathway 2 is on the sociocultural determinants of health that result in the pervasive oppression and marginalization of certain persons and peoples in society. By leaning into consciousness-raising, practitioners increase awareness of the work required to offer counselling, psychotherapy, and other mental health services that are accessible, culturally responsive, and socially just and to work collectively toward a better world in which all persons and peoples have equal opportunity to experience health and healing. The authors honour the foundations of liberation psychology, critical race theory, feminist theory, whiteness studies, critical psychology, and others upon which they draw in this section of the book. As an example of the far-reaching influence of anti-woke movements, Sandra, Melissa, and Janelle are honoured to be joined by Robin Stevenson, who shares her experiences as a book author and offers suggestions for challenging the suppression of diversity through book banning.
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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 | 0.005 | 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 | 0.009 | 0.023 |
| Scholarly communication | 0.014 | 0.019 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.022 | 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".