Television and the self : knowledge, identity, and media representation
Bibliographic record
Abstract
Chapter 1: Introduction Kathleen M. Ryan & Deborah A. Macey Part 1: The Electronic Hearth, or the (un)Real World Chapter 2: The Way We Were: Ritual, Memory and Televsion Leah A. Rosenberg Chapter 3: Becoming-Spectator: Tracing Global Becoming Through Polish Television in a Canadian Family Room Marcelina Piotrowski Part 2: Father (and Mother) Knows Best Chapter 4: As Seen On TV: Media Influences of Pregnancy and Birth Narratives Jennifer G. Hall Chapter 5: All About My HBO Mothers: Talking Back to Carmela Soprano and Ruth Fisher Andree E. C. Betancourt Chapter 6: Mad Hatters: The Bad Dads of AMC David Staton Part 3: Family Ties Chapter 7: Family Communication and Television: Viewing, Identification, and Evaluation of Televised Family Communication Models Ellen E. Stiffler, Lynne M. Webb, and Amy C. Duvall Chapter 8: Reality Check: Real Housewives and Fan Discourses on Parenting and Family Jingsi Christina Wu and Brian McKernan Chapter 9: Keeping Up with Contradictory Family Values: The Voice of the Kardashians Amanda S. McClain Part 4: The Facts of Life Chapter 10: The Selling of Gender-Role Stereotyping: A Content Analysis of Toy Commercials Airing on Nickelodeon Susan G. Kahlenberg Chapter 11: Stand by, Space Rangers: Interstellar Lessons in Early Cold-War Masculinity Cynthia J. Miller and A. Bowdoin Van Riper Chapter 12: The Avengers and Feminist Identity Development: Learning the Example of Critical Resistance from Cathy Gale Robin Redmond Wright Chapter 13: Juno for Real: Negotiating Teenage Sexuality, Pregnancy, and Love in MTV's 16 and Pregnant/Teen Mom Tanja N. Aho. Part 5: As Not Seen on TV Chapter 14: Race, Aging and Gay In/visibility on U.S. Televsion Michael Johnson, Jr. Chapter 15: Eighty is Still Eighty, but Everyone Else Needs to Look Twenty-Five: The Fascination with Betty White Despite our Obsession with Youth Deborah A. Macey
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".