Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It is with great pleasure that I am writing this introduction to this special issue of Stream: Culture/Politics/Technology dedicated to the conference proceedings of the Graduate Masters Sessions (GMS) hosted by the Canadian Communication Association/Association Canadian de Communication (CCA-ACC) at our annual meeting with the Congress of Social Sciences and Humanities at the University of Calgary in 2016. As the former President of the CCA (2014-2016), I worked for several years as a champion of the Graduate Masters Session, seeing them as a vital means of professionalizing young scholars in our discipline. Not only an opportunity for master’s students to “experience†a large conference and develop the skills necessary present their research to a conference audience, the GMS provide early graduate students with an important opportunity to network, build a community, and see how their work participates in a conversation with students and more senior scholars of communication from across Canada. I have been delighted to oversee the GMS sessions over the last few years, in no small part because I, like my colleagues on the Board of the CCA, value that conversation and the critical contributions made at our annual meetings. Sibo Chen, the English Language Graduate Student Representative on the CCA Board (2015-2017), is to be credited with the idea to produce conference proceedings of the GMS as without his focused energy it would never have gotten off the ground. Further thanks must be extended to the Guest Editors for this issue, Philippa Adam, Chris Chapman, and Dugan Nichols of Simon Fraser University, for their work in cultivating the four papers that appear here. Their work has undoubtedly contributed greatly to the further professionalization of the contributors as they embark on extending the dissemination of their research through publication.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it