Bringing international representation to the ACS Board of Directors
Bibliographic record
Abstract
At the risk of channeling Dwight Schrute from The Office , let me set the stage for this Comment with a few facts. Fact: The ACS Constitution authorizes the board of directors to function as the legal representative and to “have, hold, and administer all the property, funds, and affairs of the Society.” Fact: The board comprises the chief executive officer of the society and 15 voting members, who are elected as follows: The ACS president, president-elect, and immediate past president, elected by membership Six directors-at-large, elected by councilors Six district directors, elected by the membership of districts from which they are to serve. Fact: The six districts are geographically based in the US and Canada. Fact: ACS members in certain categories (including regular members, regular student members, retired members, and emeritus members) are eligible to vote in ACS elections. You may be wondering, what’s with the rapid-fire facts? I
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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 | 0.015 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.027 | 0.011 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.022 | 0.051 |
| Insufficient payload (model declined to judge) | 0.038 | 0.020 |
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".