Bibliographic record
Abstract
Right now, spring is in the air, and after a long and extremely cold winter, there is a sense of new beginnings. Classes are coming to an end. Students and faculty alike are excited about the imminent summer break.I, too, am witnessing a new beginning. I am in transition to a new team. Effective July 1, I will serve as dean of the College of Journalism and Mass Communications, University of Nebraska-Lincoln (UNL). I have relinquished my tenure at Central Michigan University where I served as chair of the Department of Journalism for twelve years.You will note that the masthead of this edition of Journalism & Mass Communication Educator (JM the JM the Association for Education in Journalism and Mass Communication (AEJMC) Publications Committee; and the AEJMC executive director, Jennifer McGill, also contribute greatly to this journal.Sometimes, it also takes optimism. Two articles in the past month have given me reason to be optimistic about the future of journalism and indeed about the future of journalism and mass communications education.Marty Baron, editor of The Washington Post, in his keynote speech at the fifteenth International Symposium on Online Journalism at the University of Texas-Austin, about the need for optimism in journalism, concluded his remarks by saying, There is no acceptable alternative to optimism.He said:We cannot be successful if we are not optimistic, if we do not recognize opportunities and seize on them. If we are not optimistic, why work to succeed? What use would it be? And if you are not working to succeed, no matter the obstacles, you are not working as you should.Baron's reasons to be optimistic about the future of journalism are as follows:* We've survived. We're still here. Real journalists are doing real journalism.* New owners are bringing needed new capital and a range of disparate ideas, rethinking business models. Such people include Jeff Bezos, new owner of the Washington Post; Red Sox owner John Henry who has acquired The Boston Globe; Warren Buffett who is acquiring newspapers in smaller communities; and Minnesota billionaire Glen Taylor who has offered to buy the Star Tribune in Minneapolis. …
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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 | 0.023 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.033 |
| Scholarly communication | 0.026 | 0.023 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.008 | 0.028 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".