The Haunted <i>Terroir</i> : Memory, Language, Landscape and Identity in Francis Leclerc's <i>Mémoires affectives</i>
Bibliographic record
Abstract
This article looks at the manner in which a recent Québécois film – Francis Leclerc's Mémoires affectives (2004) – uses avant-garde formal and narratives devices to unsettle the memory- terroir -language-masculinity equation upon which traditional Québécois nationalist identity narratives rest. In so doing, it renders the Québécois terroir 'unhomely' by revealing it to be at once haunted by traumatic and fragmented memories of colonial and gendered violence and simultaneously 'home' to the languages, memories and histories of the myriad 'Others' whose presence is conveniently forgotten and/or repressed by the linear and univocal nationalist narrative. In its experimentation with multiple temporalities and fragmented narrations, its promiscuous use of intertextuality and allusion and its constant indexing of the 'constructedness' of memory and identity, Mémoires affectives can be read as an attempt to provide a blueprint and a vocabulary for more plural, open and self-reflexive projects of identity construction in a postmodernised Quebec.
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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 | 0.016 | 0.024 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".