Memories of a Wall in Old Montreal – Reassembling the Puzzle of the Past
Bibliographic record
Abstract
An existing five storey building in Old Montreal has an exposed wall revealing a remarkable history of contributions from at least five building states, the earliest of which was constructed in the eighteenth century. Using the framework of semiotics as proposed by Charles Saunders Peirce (1839-1914) and Jacques Derrida’s (1930-2004) exploration of the parergon, this thesis examines aspects of the wall relative to its history, in relation to the presentation of official narratives and national identity, as well as to the experience of an Anglophone Montrealer’s personal history and identity. \n\tArchival sources such as those of the City of Montreal, Adhémar and the Ministère des Resources naturelles et Faunes, along with the Bibliothèque national and ArchivesCanadaFrance.org, provide the historical basis for the reconstruction of the development of this site, a wall that only in its latest form is exposed in such as way as to inspire this research. Works by Andreas Huyssen, Alain Gordon, M. Christine Boyer, and Pierre Nora form the basis of the question regarding the building of national narratives as they relate to the quarter of Old Montreal. This thesis culminates in a better understanding of my own experience as a fifth-generation, bilingual English Montrealer in a predominantly Francophone city.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.025 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".