Where Biography Meets Ecology: Melancholy and Transformative Education
Bibliographic record
Abstract
In the Summer and Fall of 2006, my partner and I traveled to numerous small communities on the island of Newfoundland and coastal Labrador. Having spent twenty years away from my home province, part of my purpose in this travel was to revisit places in order to reflect on and renew a connection and, as part of a research project, to listen attentively and to bear witness to over two decades of change: to see a lay of the land, if you will, less through the nostalgia-leaning attachment memories of childhood and more from the now more precarious and detached position of “unbelonging”1 and its ever-deepening sense of that most difficult of “dual citizenships”—insider and outsider. In the six years since I had returned to the province, there have been regular, even daily, doses of headlines announcing that “a way of life is dying.” Yet nothing could have prepared me for what I experienced in these travels: the terrible juxtaposition created by the dramatic physical beauty of land and sea and the heavy (dis)quiet of depopulation, the antiseptic “tourism tidy” of communities, and the gentrification of homes for summer inhabitants whose childhoods and permanent residences were elsewhere. By day, no smells from busy kitchens, no clusters of chatting men at wharves or garages, and, most devastating, no packed school buses, no children shouting playfully in fields or riding bicycles too close to the road. Plywood-covered windows—on churches, schools, garages, stores, government offices, fish plants, and homes—provided two-way shields of the unfathomable. By night, the dark sky hung low and sorrowful, drawing out the quiet, accenting the mournful. How could this have happened?
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.033 | 0.073 |
| Scholarly communication | 0.020 | 0.017 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.014 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".