Bibliographic record
Abstract
Distributed by Good DocsProduced by Heather Courtney and Paul SteklerDirected by Heather Courtney2023, Streaming, 36 mins For the Record follows editor Laurie Ezzell Brown and the small staff of the Canadian Record, the local newspaper of Canadian, Texas. Ezzell Brown as a subject is the perfect link between past, present and future; her father ran the newspaper before her, and as she nears retirement, she recounts how much her father poured into the paper (even at his own expense), seeks to uphold its mission without letting it wring her dry, and searches for the next editor in line. New leadership isn’t the only uncertainty, though; the future of the paper itself could be in jeopardy. For the Record details the factors destabilizing this newspaper, such as a decline in ad sales due to free advertising opportunities on social media and consumers’ expectation of free, 24-hour news updates. The documentary thereby serves as an excellent primer on the changes affecting local and print journalism across the U.S. For the Record also covers negative reactions to the paper’s reporting of events like presidential elections and the COVID-19 pandemic. In the conservative-majority city of Canadian, the Record’s staff has, for its entire existence, received pushback, sometimes violent. However, For the Record avoids a simple “media vs. community” divide by reminding viewers that the staff of the Record are deeply embedded in their community. It would be easy to paint Canadian, Texas with a broad brush, but both the paper and the documentary illuminate nuances in the city’s identity. A few testimonials from community members reveal gratitude for the paper, and some community members don’t mind that the paper expresses different views than their own; more of these testimonials could have deepened the documentary’s look at how the newspaper exists in the minds of the community. In another segment of particularly stark contrast, the film moves from the commissioner’s court in which it is announced that no one in Canadian has been hospitalized with COVID-19, suggesting that the threat of the virus is decreasing, to Ezzell Brown in the following weeks compiling stories of cases in nursing homes, a quarantined high school football team, and hospitalizations. Ezzell Brown and her staff have a personal and principled connection to these stories, which is portrayed as an asset; they are motivated to tell the story of their city to the city itself, in a sense helping the community members talk to each other. For the Record can help introduce learners to fundamental concepts in reporting, the impact of local news, the changing news landscape, and threats to reliable news access in small communities. It could have been strengthened by more engagement with threads like the search for a new editor, but as a human-centered introduction to issues in journalism, it excels. And it doesn’t hurt that the staff of the Record are witty, driven, and familial, inviting the viewer to experience the lifelong bond of a small community like that in Canadian, Texas. Awards:Reel South Award, New Orleans Film Festival
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.862 | 0.848 |
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".