What People Say: Application of Rural Definitions and Descriptors of Community in Ingersoll, Ontario
Bibliographic record
Abstract
A definition of rural is necessary to develop, implement, and evaluate policy, as well as to inform research. Definitions of rural are often sorted into four broad categories: descriptive, sociocultural, rural as a locality, and rural as a social representation. Within these categories various definitions exist, each with strengths and weaknesses. Researchers and policy makers debate the effectiveness and appropriateness of rural definitions in various situations. This research initiative seeks to understand how rural is used and defined by residents of Ingersoll, Ontario and explore the implications of this understanding for local development, public policy, and research. Ingersoll is the smallest still growing census agglomeration in Ontario with a population of 12,577. Based on this population, Ingersoll does not qualify as either census rural nor rural small town. Citizens of Ingersoll will be surveyed to understand how they describe their community and relate their community to the concept of rural. The survey results will be compared to common definitions of rural found in academic literature and government policy and programming.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".