Tools for Rational Development: The Canada Land Inventory and the Canada Geographic Information System in Mid-twentieth century Canada
Bibliographic record
Abstract
From the 1960s through the 1980s, Canadian scientists, resource managers, and computer experts collaborated on two linked undertakings: the Canada Land Inventory (CLI) and the Canada Geographic Information System. CLI was an extensive project that assessed the state of key resources across much of the country, while CGIS was a pioneering effort at computerizing CLI data to support decision-making about resource use. Fundamental components of the Agricultural Rehabilitation and Development Act, CLI and CGIS reflect Canadian innovation in new information-management tools designed to facilitate state goals. This paper examines the production and affordances of CLI and CGIS, and considers the renewed optimism and collaborative relationships that emerged from them. It also examines historical concerns over the limitations of these technologies and explores how CLI and CGIS were oriented to change over space, not time. Ultimately, these technological innovations served to naturalize patterns of inequality and normalize urban-industrial modernity.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".