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
<div class="abstract_container"> <strong>Abstract:</strong> The idea of a resource profile is that it is a multi-faceted, wide ranging description of a resource. A resource profile conforms to no particular XML schema, nor is it authored by any particular author. Additionally, unlike traditional resource descriptions, which are presumed to be instantiated as a single digital file and located in a particular place, a resource profile may be distributed, in pieces, across a large number of locations. And there is no single canonical or authoritative resource profile for a given resource. This paper describes the need for resource profiles, outlines their major conceptual properties, describes different types of constituent metadata, and examines the use of resource profiles in practice. </div> <p class="link_container"> <strong>Invited Commentary:</strong> <a class="rel commentary" href="/2004/5/wiley">Wiley, D. (2004) Commentary on: Downes, S. (2004). Resource Profiles. [PDF]</a> <p class="editors_container"> <strong>Editors:</strong> Terry Anderson and Denise Whitelock.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it