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
Recent trends in technology are dramatically reshaping academic library collections, and while the use of video in higher education isn't new, the move toward streaming brings a new array of benefits and challenges for academic librarians.LJ recently explored the ways in which libraries are addressing interest in streaming video services.In April 2017, LJ conducted a blind survey of academic librarians in the United States and Canada, sponsored by Swank Motion Pictures, receiving 330 responses.Most respondents-221-are in four-year colleges and university programs, serving an average of 10,392 students,while the remainder are at community colleges or graduate schools.Slightly over half of the schools were in public university systems. STREAMING FROM THE OUTSIDEThe vast majority of responding libraries-95 percent-offered some sort of streaming video content, with a particular focus on documentaries, full-length movies and television programs, and historical archive footage.Of those that offer streaming, 83 percent license their video content from multiple vendors' video streaming platforms, particularly Films on Demand, Kanopy, Alexander Street, and Swank Motion Pictures.Other notable platforms included Ambrose Digital, Swank Digital Campus, Docuseek2, Film Platform, Intelliform, JOVE, and MedCOM.Alexander Street is the vendor from which libraries license the most content, though Films on Demand is the vendor with which they spend the most money.Kanopy was selected as the "most valuable" streaming platform for both students and faculty.Over 90 percent of respondents rely on IP address authentication to access these platforms.About a third use single sign on, while others work with proxy servers, geolocation authentication, or multiple logins. HOSTING AT HOMEOnce you get beyond commercially available content, the numbers drop significantly, though a substantial minority are streaming other content as well: 61 percent of responding libraries provide access to streaming faculty-or student-produced videos.Of those that do, 76 percent host them locally, while 32 percent offer them through a vendor platform.Christine Fischer, head of technical services for the University of North Carolina (UNC), Greensboro, Library, described working with a faculty member who inquired about posting his own film to make it more widely available.The library connected him with vendor Kanopy, and the film is now not only available to UNC students, it is part of the Kanopy catalog.Making that happen was an "interesting and different" library service, she said.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it