An Interview with Craig Fenech, Sport Agent and Attorney. (Interview)
Bibliographic record
Abstract
Abstract: Craig Fenech has rep resented athletes and sports media figures since 1980. In Winter 2001, he went to Toronto to meet Canadian ice skaters Jamie Sale and David Pelletier, and said: think you can become household names in the US. Little did they know how true those words would prove: a few months later, the reigning world champions in the Pairs Figure Skating event found themselves at the center of scandal at the 2002 Winter Olympics, when the Russian pair of Berezhnaya and Sikharulidze were awarded the gold, despite a flawless display from Jamie and David. An international outcry followed which was resolved four days later when the IOC awarded the Canadians a second gold medal. Here Craig talks with Professor Jerry Dailey from Kean University about his views on the role of the sport agent, the business side of sport and the ice-skating scandal. Keywords: Olympic Games, sports agent, ice skating, endorsements Introduction Craig Fenech has represented athletes and sports media figures since 1980. In Winter 2001, he went to Toronto to meet Canadian ice skaters Jamie Sale and David Pelletier, took one look at them and said: think you can become household names in the US.,, Little did they know how true those words would prove: a few months later, the reigning world champions in the Pairs Figure Skating event found themselves at the center of scandal at the 2002 Winter Olympics, when the Russian pair of Berezhnaya and Sikharulidze were awarded the gold, despite a flawless display from Jamie and David. An international outcry followed which was resolved four days later when the ICC awarded the Canadians a second gold medal. As a result, Jamie and David, largely unknown before, became two of the most marketable athletes in the world. Here Craig Fenech talks with Professor Jerry Dailey from Kean University about his views on the role of the sport agent, the business side of sport and of the ice-skating scandal. JD: What are sport agents or sport agencies doing for their clients? CF: First of all in terms of representation, there are basically two large generic categories in representation. One is the individual sports athlete, in sports such as golf and tennis, and the other is the team sports agent in sports like baseball, football, and basketball. In the past, the individual sports athlete has been largely represented by the giant agencies like IMG. However, athletes in team sports are really the domain of the individual sport agent. With regard to what we do, it really depends on who you are, what you can offer to your clients, and what the clients want. A question I always ask the athlete is: how rich do you want to be? If they are willing to take risks, chances are they will make more money than if they don't. We encourage players to be conservative because an athlete only has a five- to 10-year income earning lifespan. During that time he will most likely make more money than most people do in their lifetime, but must be careful not to adjust his lifestyle to the level of income he is generating. He also has to plan on investing so he has money for the future. Based on the need, an agent can negotiate a player's employment contract, provide tailored tax preparation services, investment advice and money management, and explore and advise on marketing and endorsement opportunities. There are agencies or agents that provide only one or a few of the services, while others serve as a one-stop shop. For example, IMG does all these things. That's why they are so large. JD: From a sport agent perspective, how has the sport industry changed in the past 10 years? CF: Well, 23 years ago, when I started to build my sport agency practice, the field was wide open. The concept that a sport figure needed an agent to leverage his brand status was not popular. If you look around now you can see that the sport industry is completely flooded with agents and large sports agencies, and I mean a lot of agents. …
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.076 | 0.010 |
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".