Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 1964 Canada and the United States agreed on a mammoth scheme for the development of the Columbia River. Three large dams were built by the provincially owned BC Hydro Authority, and these dams, by flooding the valleys behind theme, affected the lives of hundreds of people whose houses, farms, villages, and cemeteries were to disappear under water. Essentially this is a book about reality, the reality of the Columbia River project in relation to the people of the Arrow Lakes region. As a unique and readable case study it tries to describe not only what happened as Hydro's many activities and programs came together in the Arrow Lakes, but how and why it all happened. It concentrates on the developmental and people-oriented programs, including those dealing with property, acquisition, compensation, resettlement, and community relations. The book takes an interdisciplinary approach as it pictures the project and its effects as seen by the people of the lakes. Professor Wilson has a unique viewpoint since he was first a participant in the Columbia River project (responsible for the resettlement planning) and later an independent investigator of the project's effects on the displaced people. He was written with humour and compassion, and without jargon, a book that should be read by everyone - planners, politicians, engineers, social scientists, and policy-makers - caught up in any scheme where people are to be displaced from a familiar environment. His message is that we cannot retain our own humanity without respecting the humanity of others. We cannot serve truly humane purposes unless that means we use to carry them out are also humane
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.
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 | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it