ACRL Board of Directors’ actions, June 2003: Highlights of the Board’s Annual Conference meetings
Bibliographic record
Abstract
uring the 2003 ALA Annual Conference in Toronto, the ACRL Board of Direc tors met on June 21 and 24 and took the actions.The actions appear here along with the strategic directions that they ad fodres ll o w i n g s. Strategic Direction 1.0: Society recognizes the contributions that academic and research libraries and librarians make in higher education, scholarly communication, and civic development.Approved Rinding of $5,000 for library workshops Awards and recognitionA p p ro ved a re so lu tio n th a n k in g K ate C o rb y and EBSS for their leadership and dedicated ef forts to preserve the value of ERIC as a resource for the educational community.A p p ro v e d a re s o lu tio n c o n g ra tu la tin g an d thanking LES and DLS for their work in develop ing a mission and strategic plan that meets die needs of their respective members and that moves for ward the work of the sections and the association.for Council of Independent College institutions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.112 | 0.062 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".