Remembering Ypres. Post- War Reconstruction, Land and the Legacies of Shock and Conflict
Bibliographic record
Abstract
We consider the case of the Flemish city of Ypres and its reconstruction after World War I to analyze the legacies of war, as a violent shock to social- ecological systems for the meaning and organization of land. We argue that these legacies can only be understood when considering the multiple meanings of land, including its association with identity, and when distinguishing between the effects on the land itself, on the community inhabiting that land and the governance system in that community. We demonstrate that war, in its diversity of effects reinforces some path dependencies while erasing others and creates space for reinvention. If a city and its countryside are entirely devastated, as with Ypres, actors in governance come and go, old institutions lose their binding powers, some stories and forms of knowledge remain persuasive and locally rooted, while others whither. The necessity to decide on the future, in a landscape that requires rebuilding, triggers debate, discursive production and options for reinvention. We reflect on the lessons of Ypres for other communities forced to contemplate reconstruction.
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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 | 0.001 | 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 | 0.009 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".