School of Public & International Affairs 2010-2011 Report of Faculty Research & Scholarship
Bibliographic record
Abstract
Established in 2003 as a merger of departments Urban Aff airs & Planning (UAP) and the Center for Public Administra on & Policy (CPAP) and the forma on of a third program, Government & Interna onal Aff airs (GIA), SPIA has become a university leader in interdisciplinary professional social science educa on.The School off ers two undergraduate, three masters, and two Ph.D. degrees; has headcount enrollment of 557 students; and has the largest resident academic program in the Na onal Capital Region with twelve tenure-track faculty in residence.Since its founding SPIA has been a "factory of excellence," with signifi cant contribu ons to discovery, learning, and engagement. Each year SPIA's 32 tenure-track faculty produce 5-10 books, 25-30 book chapters, 55-60 refereed ar cles, 90-100 presenta ons, and about $2 million in sponsored projects (see research produc vity table).Faculty have an internaonal reputa on demonstrated by many honors and awards and invited keynote addresses and other presenta ons across the country and around the world (see table on awards and honors in 2010-11). SPIA graduates more than 50% of the College's masters degrees and more than 90% of its Ph.D.'s.Total enrollment has increased by 30% in the last fi ve years, led by undergrad enrollment growth of 76% from 2007 to 2011; masters and Ph.D. enrollment has increased 11% and 28% respec vely since 2006 (see instruc on data tables).SPIA con nues to develop new ini a ves, such as the successful CPAP Local Government Management Graduate Cer fi cate program, spia
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.091 | 0.050 |
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".