Bibliographic record
Abstract
This paper begins with a vignette to situate the reader in the landscape of the Woodlawn Cemetery and gain a better context for the analysis that follows. Through primary and secondary research, the Woodlawn Cemetery reveals the ways that temporality, power, and culture are reflected in this deathscape. Historical records of the Woodlawn Cemetery support the argument that temporality is being realised in the landscape in a linear way, here, time is an important part in shaping the landscape. The concept of memoryscapes, which involves spaces of memory, show that the connection of nonlinear time also exists within deathscapes, specifically within the Woodlawn Cemetery. Power is imbued in the landscape of the Woodlawn Cemetery through burials. Burials in this deathscape serve as powerful symbols of control when considering concepts such as necro-colonialism and the establishment of war monuments. Through methods such as walking the land there are other overt displays of power at the Woodlawn Cemetery that reflect the ownership of the land and governance of access imposed by the City of Saskatoon. This paper focuses on how aesthetics are used to manipulate emotions and ease the discomfort of confronting death and create a sense of familiarity for Euro-Canadians. An analysis of the surrounding landscape and changing attitudes toward death through time support the idea that death is not something to be looked upon by everybody as it has been deemed a private affair.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 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".