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
From its modest origins as a single FM radio station in Toronto in 1960, Rogers Communications has grown to become a powerhouse communications and multimedia company in Canada, providing wireless, information technology, cable TV, Internet, print and digital publications, and telephone services to millions of people across the country's nearly 10 million square kilometers.Traded publicly on the New York Stock Exchange (NYSE: RCI) and the Toronto Stock Exchange (TSX: RCI.A and RCI.B), Rogers Communications generated $14.1 billion in revenue in 2017.In addition to its 10.4 million wireless subscribers and 2.2 million Internet customers, Rogers, as it is commonly known in Canada, boasts substantial broadcasting, publishing, and sports entertainment assets.Head-quartered in Canada's business and media capital of Toronto, the corporation employs 24,500 people across the country.This entry provides an overview of Rogers Communications, including its history and its range of services. HistoryRogers' founder Ted Rogers, a lawyer turned entrepreneur, grew up surrounded by media and electronics.Rogers' father, Ted Rogers Sr., invented the world's first all electronic radio in 1924.Motivated perhaps by his father's pioneering work, Rogers Jr partnered in 1960 with a prominent broadcaster to buy Toronto's CHFI Radio, the country's first FM station.In that same year, Rogers, along with others, launched Toronto's first private television station, CFTO.Rogers expanded with the addition of an AM radio station a few years later.In 1967, Rogers Cable was launched with just 300 subscribers in Brampton, Ontario.In 1979, Rogers, now a publicly traded company, bought Canadian Cablesystems.A year later, Rogers expanded further, becoming Canada's largest cable TV company, when it purchased Premier Cablevision.Throughout the 1980s and 1990s, Rogers invested
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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