Bibliographic record
Abstract
Khadija Benn is among the few women photographers living in Guyana and choosing to forge an artistic practice. As a geospatial analyst, Benn often journeys across Guyana to remote places where most Guyanese rarely have access. These small villages are central to Benn’s stunning black and white portraits of the elder Amerindian women who call these communities home. However, as she emphatically notes in her portraiture essay, ‘Those Who Remain,’ these are not invisible women. Benn’s adjoining excerpts from her interviews with the Amerindian elders illustrate how essential they are to Guyana’s history and its migration stories. These women, whose dates of birth begin as early as the 1930s, have witnessed Guyana evolve from a colonized British territory, to an independent state, to a nation struggling to carve out its identity on the world stage, to a country now burdened by its citizens departing. They have also been the ones most impacted by serious economic downturns over the past decade where the decline of mining industries, coupled with very little access to education beyond primary school, have left these communities with few or no choices to thrive. These elder Amerindian women are mothers, grandmothers, and great-grandmothers whose descendants have migrated to border countries like Venezuela and Brazil in South America, to North America, and to nearby Caribbean islands. Yet, these women have made the choice to stay. While their children go back and forth between Guyana and their newfound lands, many of these elders have never left Guyana, some have never left the villages they were born in, and some have no desire to leave.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.059 | 0.018 |
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".