Educating the Country Out of the Child and Educating the Child Out of the Country: An Excursion in Spectrology
Bibliographic record
Abstract
A focus on rurality has been largely absent from much contemporary educational policy discussion. At best, rural education is a peripheral concern just as rural areas are increasingly considered marginal to the development of a globalized, networked, fast capitalism. In Canada rural, coastal, northern, and single-industry communities that were built around primary resource extraction are constructed as social and educational problem spaces partly because their residents are often attached to these places long after they have served their economic purpose as natural resource deposits for the interests of capital. In fact rurality and rusticity are typically seen as one face of the kind of localized social condition that formal education is designed to normalize and transform by fostering outmigration and a general orientation to urban life and to mobility. In this analysis I use Derrida’s idea of spectrology to examine some images of rurality as persistent, place-attached ghosts haunting the educational project of modernity.
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.067 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.016 |
| Insufficient payload (model declined to judge) | 0.002 | 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".