Critical Conversations From Different Worlds Through Decoloniality, Gender Equity and Diversity
Bibliographic record
Abstract
This special issue responds to decades of calls to recentre decoloniality, gender equity, and diversity as pivotal areas of social justice that have shaped people’s lived experiences. With significant contributions, this special issue offers a multifaceted exploration of how decoloniality, gender equity, and diversity, as intersecting and diverse themes, inform scholarship and practices in the Global South. Decoloniality, in particular, challenges us to critically examine and dismantle the enduring legacies of colonialism that persist in our knowledge production and everyday lives. In a similar tone, this special issue calls for a re-evaluation of power dynamics, knowledge production, and cultural representations, with the aim to centre marginalised voices and perspectives that have historically been silenced, most notably in the Global South. Simultaneously, gender equity remains a fundamental area of social justice, advocating for the equitable treatment and representation of all genders. This special issue investigates the complexities of gender identity by highlighting its intersections with race, class, and sexuality; among other axes of identity. Much has been said and written about diversity by the Global North. In its broader sense, diversity encompasses not only demographic variety but also a diversity of perspectives and epistemologies, including those emerging from the Global South. With a specific focus on the southernmost region of Africa, this special issue embraces the richness of diversity across disciplines, cultures, and, most importantly, people’s lived experiences. In so doing, it recognises and demonstrates that true intellectual and social progress can only emerge by engaging with a plurality of voices.
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 | 0.014 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.022 | 0.029 |
| Scholarly communication | 0.024 | 0.022 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.009 | 0.018 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".