Bibliographic record
Abstract
Phare View Concepts Incorporated, Canada (retired). Rutgers University, BA Chemistry, 1973. ACS Fellow, 2011. Phare View Concepts Incorporated, principal, 2010–18 (retired); Pfizer, principal research scientist 2010 (retired); Wyeth Research, principal research scientist, 1984–2010. International Activities Committee, 2019–21, committee associate, 2017–18; Council Policy Committee, 2015–16, bylaw councilor, 2016, (voting), 2015–16, (nonvoting), 2010; Committee on Economic and Professional Affairs, 2005–10, chair, 2010, committee associate, 2004; Committee on Chemistry and Public Affairs, committee associate, 2011–14; Board of Trustees, Group Insurance Plans for ACS Members, 2013–21. ACS Fellows Oversight Committee, 2018–20, chair; ACS Leadership Advisory Board, 2013–19. Professional Relations Division: councilor, 2013–15, Member-at-Large 2007–10, International Chemists subdivision chair, 2018–19; councilor, 2003–11. Member of ACS since 1991. ACS Division of Professional Relations. ACS career consultant, 2011–; facilitator, ACS Career Workshops, 2012–; facilitator, ACS Leadership Course “Leading Change,” 2007–. Greenblatt’s statement . The world is undergoing rapid changes, moving into uncharted territory. ACS has an unprecedented
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.581 | 0.389 |
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".