The interoperability of learning object repositories and services
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
Interoperability is one of the main issues in creating a networked system of repositories. The eduSource project in its holisticapproach to building a network of learning object repositories in Canada is implementing an open network for learning services. Itsopenness is supported by a communication protocol called theeduSource Communications Layer (ECL) which closely implements the IMS Digital Repository Interoperability (DRI)specification and architecture. The ECL in conjunction withconnection middleware enables any service providers to join thenetwork. EduSource is open to external initiatives as it explicitlysupports an extensible bridging mechanism between eduSource and other major initiatives. This paper discusses interoperability in general and then focuses on the design of ECL as animplementation of IMS DRI with supporting infrastructure andmiddleware. The eduSource implementation is in the mature stateof its development as being deployed in different settings withdifferent partners. Two applications used in evaluating ourapproach are described: a gateway for connecting betweeneduSource and the NSDL initiative, and a federated searchconnecting eduSource, EdNA and SMETE.
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 | 0.000 |
| 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 it