Bibliographic record
Abstract
IN THE FALL OF 2007 I WAS WOEFULLY UNPREPARED for the deluge Of media calls I was due to receive--requests for interviews from journalists seeking commentary on the role of the Internet in the Ontario provincial election. Having spent most of my academic life in the United States, I had found it highly unusual for media to call academics, especially to those of us working from a humanities or critical/cultural perspective. Nonetheless, there I was, Blackberry pressed to ear for much of the month of September, serving as an educator of sorts to a range of journalists from a number of media outlets--national, provincial, television, radio, print, and Internet based. As a media studies scholar, the experience served as a fantastic crash course in contemporary journalism. The month was both exhilarating and exhausting, though ultimately a welcome change from the confines of typical university life. Thus when the Canadian Broadcasting Corporation (CBC) news invited me to work exclusively for the National and their many other news platforms in a similar capacity for the fall 2008 federal election campaign, I jumped at the opportunity--our collaborative research on new mediated politics (conducted with a number of my graduates students) would go on to receive substantial national attention. I was also keen on the CBC's request for exclusive use of our research and priority for commentary during the election as I figured it might cut down on the endless calls and long interviews I'd conducted with freelance reporters during the previous provincial election. I was right. Once I began the partnership with CBC news, far fewer news outlets, particularly private news outlets, called to seek out my commentary, even though the election by many accounts was dominated by a string of web-based scandals and events. While some reporters figured that I was too busy collaborating with CBC, others were surprisingly upfront about their political antipathy toward anything, or anyone, associated with Canada's public broadcaster. For instance, I was abruptly disinvited from participating on a radio call-in show once the host caught wind of my collaborative project with CBC news. We'd never have anyone on who works with the CBC;' I was told point blank. That such partisanship (and it was politically motivated, to be sure) exists in Canada's broadcasting system, and in particular newsrooms across the country, is hardly news itself. It was, however, the brash expression of such partisanship that struck me, particularly in retrospect, as the campaign wore on and our project received more attention from conservative voices across the country. But it was not the typical claims of liberal bias that conservative supporters started communicating to me about during the campaign with respect to our collaborative Ormiston Online project (named for the CBC reporter assigned to cover the internet during the campaign). (1) Rather, conservatives were furious at the project's success. Conservatives readily complained that our web- and television-based coverage of the internet campaign was too innovative, cutting edge, ahead of the curve, and novel. I would have blushed if not for the fact that these were offered as damning critiques! Advocates of public broadcasting in Canada have often missed the point of this personal tale--conservatives are no longer content with pointing out budgetary inefficiencies at Mother Corp., in part because opinion polls continue to strongly support the CBC and other publicly mandated and (in part) funded institutions. Rather, I discovered during the election that many conservatives were in fact critical of public institutions emulating and adopting market logics. A number of conservatives, for example, suggested that Ormiston Online was trying to corner the market through the promotion of its brand on Facebook, Twitter, and YouTube. …
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".