Introducing RefAware: a unique current awareness product
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
Purpose The purpose of this paper is to review RefAware, a new current awareness product introduced to the University of Calgary in September 2008. Coinciding with the product's launch, a team of three librarians was established to develop expertise with RefAware and promote it within the library and across campus. Design/methodology/approach A brief overview of current awareness tools leads into a discussion of key features available in RefAware, supplemented by a detailed section guiding the user through the product. In addition to highlighting key promotional undertakings, comparisons are drawn between RefAware and Ingenta, one of the earliest current awareness services used by the University of Calgary Library. Findings Benefits of using this current awareness tool include access to current and reliable information, ability to search within multiple disciplines on a predetermined topic, the convenience of receiving alerts when new information becomes available, and direct export to RefWorks. Limitations include inability to combine search profiles into one search string, cumbersome source list creation tools, inconsistent functionality when exporting citations, and lack of clarity with regards to classification of source names. Practical implications While its capability to simultaneously search through many new electronic publications makes it a multi‐disciplinary electronic journal, RefAware should be viewed as a complement to other research tools, not as a replacement. Originality/value An objective review of this new current awareness product for librarians is provided.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| 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