Bibliographic record
Abstract
Rural settlements in the Yukon differ from their southern counterparts in that they are characterized by a number of factors such as: geographic isolation, social division of the settlement along White-Indian ethnic lines and political isolation in that many communities have no local mechanism for formulating representative inputs to senior levels of government. These conditions have given rise to difficulties in the administering of rural community' affairs. Residents of these settlements expressed discontent with the way in which community related decisions were made without their involvement. Government agencies on the other hand are confronted with conflicting inputs formulated by individuals or groups from communities so that determining what is representative of the settlement is not an easy task. The thesis addresses the problems of local participation in the governing of community affairs in six similar, ethnically mixed rural Yukon communities. A five month research program during which interviews were conducted and observations recorded and the author's three year residency in one of the settlements studied, provided the material for the descriptive section of the thesis. Descriptions of the socio-political character of six settlements and their relationships with senior government and descriptions of the government agencies which frequently interact of proposed local governments. A tentative proposal of local circulated among respondents in rural communities. Responses to the questionnaire, in addition to responses to questions about the existing type of local government provide a basis for the analysis. The analysis conducted in the thesis indicates that a type of local government with specified form, functions, and role are not flexible enough to encompass the diversity which exists among inferences from these findings are that the Territorial Government should formulate the guidelines for local government allowing the specifics to be worked out between the Territorial Government and the residents of each rural settlement so that the particular local government is perceived as appropriate to the socio-political character of the community. In closing, the thesis discusses the implications of these findings may hold for the development of local government in general.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.004 |
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".