Reclaiming, remembering, and reinventing the land in Lorraine Gilbert’s photography
Bibliographic record
Abstract
As a visual expression of the world we live in, landscapes and forests are central to a contemporary photography concerned with the manifestations of the Anthropocene. If the concept of solastalgia developed by Glenn Albrecht speaks of a sense of placelessness, despair and incomprehension induced by the many manifestations of climate change, I want to suggest that Lorraine Gilbert’s photographs of Canadian landscapes and forestscapes problematise our relationship with the planet by investigating the places we create for ourselves and the relationships we cultivate with other living organisms. I will suggest that Gilbert’s work, beyond its Anthropocenic expression, offers an aesthetic of relationality that seeks to evoke places of possibility rather than placelessness and loss. This paper will investigate the photographic forms which lead Gilbert to reclaim, remember, and reinvent non-exploitative relations to the land.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".