Translanguaging and Autobiogeography as Decolonial Strategies for Writing Life Narratives within Displacement
Bibliographic record
Abstract
In this article, the author presents research that explores individual and collective autobiographical acts aiming at the creation of places of enunciation for decolonial selves through practices in the visual arts. This practice-based research benefits from interdisciplinary crossings between feminist geography, life writing, and decoloniality, through which the author designed the network of concepts that gave form to the epistemological approach to practice and research used. The first stage of the practice is a self-reflective response to personal experiences within geographical displacement and dislocation in language. The second part comprises collective writing processes conducted with twelve Brazilian women who live in London. Writing is a cross-element in this practice-based research, and visual arts offer a space for exploring decolonial acts. Thus, the author sought in decoloniality a path to offer a contribution to knowledge by proposing decolonial strategies for writing life narratives within displacement through translanguaging and autobiogeography.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".