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
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.504 | 0.389 |
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".