Reading/Writing Canada: a Facebook Wall about Canadian Literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The CBC operates on a mandate that defines it as a company of content whose vision is to connect Canadians through attractive Canadian content and whose values include serving the Canadian public. This article responds to the questions of how the CBC uses social media to disseminate national literatures, taking a Facebook wall Canada Reads, as a case study, based on the small stories method (Georgakoupoulou) to analyze narrative activities that are important for recognizing the identity-forging work of their narrator as well as the social fabric of practices that people become involved in, with the objective of discovering if it has created a virtual community of practice (as conceived by Robert V. Kozinets) and if it has achieved, at the same time, the ultimate goal of discussing contemporary Canadian identities and if it has fulfilled its aim to disseminated contemporary regional and national quality content.
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.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it