Bibliographic record
Abstract
My first year as editor-in-chief of The Journal of Popular Culture (TJPC) has been characterized by several changes that I am excited to share. TJPC transitioned from MLA to the Chicago Manual of Style, a move that brings it in line with Wiley's other journals and that will help expedite the publication process. In addition, several new scholars from around the globe accepted invitations to join the Editorial Review Board, including former editor, Ann Larabee, who is now an honorary member. Further, it is with great enthusiasm that I introduce Travis Boyce (San Jose State University), Diana Cucuz (University of Toronto, Canada), Elizabeth Faber (Dean College), Danyelle Greene (Florida Atlantic University), Zachary Ingle (Hardin-Simmons University), Colleen Karn (Methodist University), Jyotsna Kapur (Southern Illinois University), Alex Kirt (Northwest Missouri State University), Saadia Lawson (University of Central Arkansas), Chelsea McCracken (SUNY ONEONTA), Kurt Milberger (Kennesaw State University), Robin Muir University of Surrey), Timothy Petete (University of Central Oklahoma), Ashley Phipps (Independent Scholar), Jacqueline Pinkowitz (Mercer University), Steffi Shook (Manhattanville College), Angel M. Spence Nelson (Bowling Green State University), Soumik Pal (North South University Dhaka), Namrata Sathe (Krea University) Alex Symmons (Lim College), Mark Walters (Asia University), and Ron Wilson (University of Kansas). It is an absolute pleasure to have you all aboard and to work with all the Editorial Review Board members. Last spring marked the end of my time in the Greenlee School of Journalism and Communication and the English Department at Iowa State University. I am now an associate professor and the Director of the Black Film Center & Archive at Indiana University. Consequently, I will have new team, which means the previous Editorial Assistants, Allie Harwood, Kelli Fitzpatrick, and Zoë Fay-Stindt, will no longer work on TJPC. Thank you, Allie, Kelli, and Zoë, for all your hard and wonderful work on the journal. You all are amazing, I appreciate you, and I will miss working with you. Finally, I am excited to introduce, my new Editorial Assistants, Bruno Dariva and Caro Reed-Ferrara. They are talented and excited to work on the premier journal dedicated to the study of popular culture. Together, we will continue working to elevate TJPC to even greater heights.
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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 | 0.015 | 0.088 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.023 | 0.015 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.177 | 0.134 |
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".