Bibliographic record
Abstract
Methanex has signed an agreement with its largest shareholder, M&G Investments, that gives M&G two slots on the methanol maker’s board. M&G, which owns 16.5% of Methanex’s stock and has been a shareholder since 2007, had been seeking a proxy showdown with Methanex to put four new directors on its board. The investment fund objects to Methanex’s plan to build a new methanol plant at its Geismar, Louisiana, complex, fearing it will be too risky. As part of the agreement, an independent advisory firm will review the project. Also, one of M&G’s nominees, Canadian electricity executive Paul Dobson, will get a seat on Methanex’s board. Another new director will be appointed after Methanex’s annual meeting later this month. The companies will also abide by a standstill agreement, which means no fighting, until after the 2020 annual meeting. Ashland recently struck a similar standstill agreement with an investor, Cruiser Capital Advisors,
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.493 | 0.261 |
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".