SENSE OF PLACE- DEFENSE OF PLACE A CASE STUDY OF THE TORONTO ISLAND
Bibliographic record
Abstract
This thesis investigates the dialectical relationship between sense of place (i.e., feeling of belonging in and having a deep emotional attachment to a place of personal significance and meaning) and defense of place (i.e., specific political, legal and other actions taken to protect a place that is threatened). That is to say, when a place to ~ich a person or a group of people is strongly attached is threatened in some way, the Sense of place may lead to and condition the nature of the defense of place; and, when a place is threatened and defended, that defense of place, in turn, conditions and influences the nature of sense of place. In this dialectical relationship between sense of place and defense of place, the concept of threat occupies a position of central importance as a catalyst to action and a continuing influence. The phenonemon of sense of place may exist in the absence of
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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 | 0.001 | 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 | 0.000 | 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".