Transforming Soccer Talk in the United States: The Misapplication of a Formulaic Announcing Methodology
Bibliographic record
Abstract
There are ideal strategies of thought for production of language. Such conscious linguistic strategies, or sets of beliefs about language structure, rationalize a particular--natural--approach to talking or writing about things, events, people, places, and so on. (1) Twenty-seven years on pitch have taught me how to think, therefore, talk, about soccer. Similar to 4-4-2--commonly considered classic formation--there exists a standard linguistic strategy, or ideology, for speech genre of soccer on television. Further, genre has particular characteristics: it is silent at times, fluid, poetic, passionate, and understated. Collectively these individual attributes contribute to whole of narrative. Major League Soccer (MLS) television commentary, however, is--unnaturally--structured a result of misapplication of a formulaic announcing methodology: cutting-and-pasting of two-commentator broadcast system. duality of this system is made up of play-by-play announcer and color commentator. Each role has a predefined linguistic function that, ultimately, shapes language each can produce. Furthermore, MLS commentators channel details and statistics, banter, coaching insights, and anecdotal information. My participant experience a player, coach, and fan does not necessarily qualify my native point of view that there is a tendency to mistreat soccer commentary on television in United States. Nor will I argue this idea is new or has not already been said before, but rather that this idea contextualizes what my ear has been witness to: a mistreatment of linguistic methodology for soccer commentary in MLS. Major League Soccer must continue to reexamine its language ideology. Indeed, there is an art to call of a match and some attention must be paid to it, for without this attention to linguistic detail, medium is mistreated and perception of sport becomes increasingly distorted. Certainly, speech genre of soccer commentary in United States has evolved simultaneously with growth of MLS over past fifteen seasons. (2) league has matured to sixteen teams with addition of three: Portland and Vancouver in 2011, Montreal in 2012. Although league has invested in cultivating U.S. National Team standouts (Brian McBride, Landon Donovan, Jozy Altidore), importing international superstars (David Beckham, Cuauhtemoc Blanco, Juan Pablo Angel), and building nine soccer-specific stadiums, there is room for growth when it comes to identifying studio talent with a tongue for speech genre. Soccer commentary in America continues to be held hostage by misapplication of formulaic announcing methodologies: treating soccer broadcasts in a similar fashion to other sports. In reality, each sport deserves their due approach. This synchronic trend to unnaturally mix broadcasting elements and apply linguistic techniques from various sports is a breech in contract of genre's standard Commenting on generic expectation of a genre's standard form, Mikhail Bakhtin notes, The speaker's speech will is manifested primarily in choice of a particular speech genre. ... And when speaker's speech plan with all of its individuality and subjectivity is applied and adapted to a chosen genre, it is shaped and developed within a certain generic form. (3) For native speakers, it is easy to pick up on violations of generic expectations for a particular speech genre. Because of this awareness of preexisting linguistic social facts (William Hanks treats genres as elements of linguistic habitus (4)), speaker is wise to take cues from a variety of factors to determine amount of which one can, Richard Bauman and Charles Briggs note, negotiate changes of genre in which features of one genre are embedded within a token of another. (5) Therefore, ethnography must focus on the total speech act and form-functioning-meaning interrelationships within situational context of language use. …
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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 | 0.007 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".