Bibliographic record
Abstract
Highway 11 winds its way through the rural landscape of the Almaguin Highlands in Ontario, Canada. My research explores how a current development project, to be completed in 2012, is expanding the highway, converting it from two to four lanes and bypassing several local towns. I am examining the highway project, along with other changes in the area, in the context of the rise of global policies that promote free markets and free trade and reduced governmental intervention and regulation. In relation to these policies, many rural areas in North America are undergoing a major shift in economic activities from timber, mining, industry, and farming to touristic and recreational consumption - a shift from ‘extractive’ to ‘attractive’ models of development (Luke 2003). This process has recast the countryside from a place of work to a place of leisure (White 1996), and has redefined the ways in which rural land is consumed. I took this photograph while conducting fieldwork in May 2009, and it demonstrates this recasting, where, for a local artist, former ‘extractive’ land now serves as a canvas for his creations.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".