Readings from a life : rural educators read our rural selves
Bibliographic record
Abstract
Readings from a Life: Rural Educators Read our Rural Selves is a cultural study of identity in place in Atlantic Canada. The study is developed based on hybrid methodology drawing on key elements of literary anthropology, self-study, autobiography, auto-ethnography, and geo-poetics. The literary landscape of rural Nova Scotia provides the principal site for the readings which are developed throughout in contrapuntal fashion, that is to say the readings move back and forth between global and local representations of rural space. Key to the development of each of the chapters is the concept of distance as a device for making the world strange and therefore knowable. The readings are contained within seven chapters based on the research question, 'What are you doing here?' This question is deconstructed first through establishing the literary landscape of rural Nova Scotia as a site for analysis, followed by a discussion of literary anthropology as method, which leads in turn to a close examination of how particular teachers read themselves through their engagement with the literary texts. These readings are followed by a critical examination of what kinds of reading count in official policy discourses when compared to the more literary representations. As self-study the readings are used to provide insight into a life lived for the most part in rural Nova Scotia and at the same time are used to highlight aspects of education and teacher identity in this place. The concluding chapter moves recursively in order to strengthen the insights contained in the previous chapters and at the same time articulates the ambivalent nature of the project as a whole. Policy implications, potential beneficiaries, limitations of the study, and future directions are indicated in the final chapter.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".