Replication code and data for: Platform urbanism and ‘splintering amenitization’: An analysis of Canadian cities
Bibliographic record
Abstract
This repository contains the R code and aggregated data needed to replicate the analysis in our paper "Platform urbanism and ‘splintering amenitization’: An analysis of Canadian cities". To replicate this analysis, please use the enclosed `renv.lock` file to install the requisite versions of necessary packages. All necessary datasets are located within the `data/` folder. This includes publicly available statistical (demographic) data obtained from Statistics Canada and built environment data obtained from OpenStreetMap. These datasets were obtained for selected neighborhoods in three Canadian cities, namely, Montreal, Toronto, and Vancouver. For further details on the datasets, please refer to the original publication. All code is contained in the`analysis/` folder in computational notebooks. These notebooks are organized sequentially, with initial files containing code to access and process datasets. Subsequent files contain code necessary to run the regression analyses, process results, and create the figures used in the publication. For further details on each notebook, please refer to the enclosed 'README' file.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".