Census program data viewer, 2016 Census
Bibliographic record
Abstract
The Census Program Data Viewer (CPDV) is Statistics Canada's new web-based data visualization tool that will make statistical information more interpretable by presenting key indicators in a visual dashboard. Driven by geography and analytical indicators the CPDV allows casual users to see complex conceptual relationships with ease. The presentation will provide an overview of the product, how it works, and how it can be used by different user communities. We discuss the process of working with Goecortex Essential Technologies to refine a product to meet accessibility standards and host the large volume of data that has been made available. The effort to produce large volumes of information and integrate it with geospatial information was a considerable challenge and there are lessons learned that we would like to share. The CPDV is envisioned as a tool to allow a great number of non-sophisticated data users to easily access and interpret Census data for reference and research purposes. Feedback from the IASSIST and ACMLA communities will be invaluable to help meet this vision and provide a great experience for users.
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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.009 |
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; both teacher heads agree on what is shown here.
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".