Constructing Identity Spaces for First Nations People
Bibliographic record
Abstract
Indigenous psychology as a global movement includes First Nations people who were colonised and live today as minorities amidst European majorities in their homelands. This creates the imperative for a psychology of self-determination and cultural healing. The six articles in this Special Issue (SI) articulate different strands of such a First Nations psychology; they are grounded in a liberation psychology of protest, woven together with less confrontational forms of emancipation involving the construction of alternative identity spaces. The articles employ theories and practice that can be grouped into two themes: ( i ) psychological resistance and endurance and ( ii ) social relations for psychological creativity and generativity. Based on ( i ), two articles in this SI develop a historical trauma paradigm for First Nations people to narrate psychological trauma as the product of intergenerational ‘soul wounds’ inflicted by colonisation, which require empowering collective action. Based on ( ii ), the remaining articles focus on constructing identity spaces where social relations amongst First Nations people are valued as the source of psychological creativity and generativity. Robust social relations from traditional genealogies to contemporary online communities are used to form identity spaces that validate indigenous identity and support the growth of First Nations languages. Multiple ways of belonging are theorised to link different First Nations people at different stages in identity development. As a dynamic but essentialist view of identity, this body of work can be connected to theorising about dynamism between independent and interdependent self-construals at the individual level, or the social construction of individualism and collectivism at the group level.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.021 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".