Six. Life in a Concentration Village
Bibliographic record
Abstract
six Life in a Concentration Village When parents deny a child food, clothing, and shelter it's considered abuse.Yet when governments do it, it's called fiscal responsibility.-Newfoundland and Labrador Strategic Social Plan (1996), vol. 1, What the People Said From Expendable to DisposableStarting in the 1950s, and intensifying greatly in the 1960s, there was a provincial government program to centralize coastal populations all across the island of Newfoundland.The Newfoundland fishery, the mainstay of that economy, was shifting from a smallboat, near-shore enterprise organized by kin and neighbors from small villages strung all around the long Newfoundland coastline to a largerboat, middle-distance fishery and then to an openocean, deep-sea trawler fishery prosecuted from major island ports.The coastal villages of the inshore fishery began to cost far more to service than they produced in revenue for the state or for capital.Newfoundland, in its imposed centralization program, forced the population out of these villages and into a jobless life in what the government called "regional growth centers." Not publicly, but explicitly in private, the government knew it was throwing away the social lives and working careers of the middle-aged population.The planners did seem to firmly believe that the better educational possibilities, along with good road access that the small villages did not usually have, would give the younger generation access to better-paying production-line
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.025 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.151 | 0.042 |
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".