The Multitudinous Sparseness of Space in Harry Thurston’s Broken Vessel
Bibliographic record
Abstract
In January and February 2000, Canadian poet-naturalist Harry Thurston (b. 1950) spent 35 days in the Sahara with a team of archaeologists conducting research at the Egyptian oasis of Dakhleh in the Western Desert. Confronted with the vastness of a territory at once foreign and familiar, he decided to respond to the experience of living in the desert with poems of haiku-like brevity he would write each day he spent on camp. The fruit of this spiritual experience was Broken Vessel (2007), a book that seeks to capture the mystery of the desert, a space that has held a century-long fascination for the human imagination. Following Tuan’s dichotomy of space vs. place, Bennett’s notion of vibrant matter, and ecocritical concepts concerning ecopoetry as place-making, this article examines Thurston’s insights into the more-than-human world embodied by the desert, based on his firsthand observations and his imaginings of the known and revealed history of the Sahara.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".