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
What's coming for career resources at CFA Institute in 2016?It's definitely going to be an exciting year.One of our biggest projects is to relaunch our CFA JobLine service.That's an exclusive job board that we offer for CFA Institute members, where we work with employers to post the top investment management jobs globally.It's served our members well in the United States and Canada, but we've seen less traction in other regions.We want to make it a truly global service.We are currently in the vendor selection phase, and we anticipate a full launch around September.A key goal of this project is to serve our Asia-Pacific and European members a lot better than we do now, and to expand the job opportunities in those regions.Our strategic imperatives for the project are twofold.First, we want to leverage our CFA JobLine service to grow and strengthen employer awareness of an affiliation with CFA Institute and thereby increase the demand for our members' qualifications.Second, we provide a platform for our member societies to strengthen their offerings to members and benefit from their local context.
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) | 0.004 | 0.006 |
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