On the Convergence of Innis's International Political Economy and Sebald's Novels
Bibliographic record
Abstract
In his paper "On the Convergence of Innis's International Political Economy and Sebald's Novels" Joseph S. Pinter contributes to the development of an area of scholarship on Harold A. Innis and Canadian political economy which deals with issues of representation, landscape, and memory. Pinter draws attention to a specific aspect of Innis's approach to political economy and focuses on ways in which Innis was able to represent fundamental aspects of the settlement process in Canada. Pinter argues that Innis focussed on landscape as a basic element in the European experience of North America (US and Canada) that, in turn, enabled Innis to trace the elements of Canadian economic development in a specific manner, in a way receptive to the influences of landscapes as an autonomous factor in evolution, i.e., not necessarily and always tied to staples of production and transport. The purpose is to argue for an inherent plasticity within the context of International Political Economy (IPE) that enables one to look at landscape as an independent element in economic development. It is this plasticity that makes IPE capable of appropriating aspects of the work of the novelist W.G. Sebald: in looking for convergences between the work of Innis and Sebald, Pinter seeks to bring out the centrality of landscapes in Innis's work and thought.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.031 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".