Subject Index: Volume 3
Bibliographic record
Abstract
Boxes Model on, 18fig-19 Behavior engineering model (BEM): cause analysis used in, 248; description of, 99 Blogs, 309, 310 Boston Public Schools, 340 Brinkerhoff's impact map, 344 Brinkerhoff's stage model, 343 Brinkerhoff's success case method, 344 Broadcaster.com, 301 Budget assessment, 235-236 Business needs: assessing strategic or operational, 99; BSC (balanced scorecard) perspective on, 319; ROI process model alignment with, 234; ROI process model identification of, 225. See also Organizations C Calendar time, 20-21fig Calibration: definition of, 12; performance applications of, 12-14 Canadian Evaluation Society, 38 Casey Foundation, 286, 288 Causation: correlation compared to, 193-194; definition of, 194 Cause analysis: behavior engineering model (BEM), 248; HPT evaluation model step of, 248t-249 Centers for Disease Control and Prevention (CDC): evaluation work plan using framework of, 284-285t, 286; public health evaluation approach used by, 284, 294 Certification: for full-time evaluators, 365; for part-time evaluators, 365-368; project management, 365-366. See also Profession Certification Guide (Weinberg), 355 Certified Performance Technologist (CPT), 367-368 Certified Professional in Learning and Performance (CPLP) credential, 368 Change: beware of lurking monsters within, 270-271; critical success factors for, 266; interrelationships between clients and, 268-270; selection of specific, 264-266; value, sequence, and timing of, 266-268. See also HPT projects; Performance interventions Change process: HPT evaluation model implementation for, 251-253; impact evaluation process and, 124-125; organizational enablers of, 257-258 Checklists: performance, 216fig; selfinstructional training, 149e-150e Chi-square goodness of fit, 193 Classes of information data, 291-292t, 293 Clients: ethical dilemma of data collection interference by, 169; HTP professionals' ethical relationship with, 167; interrelationships between changed interventions and, 268-270 Code of Ethics (ASQ), 367 Code of Ethics (ISPI), 161, 166, 171. See also Ethical issues The Cognitive Style of PowerPoint (Tufte), 172 Communication tools: performance conversations as, 55-56; podcasts and webcasts, 299-300; social network websites, 300-301; web-based surveys, 300. See also Reporting Competency-based needs assessments,
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.906 | 0.876 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".