General Motors Newsgram, March 1968
Bibliographic record
Abstract
An issue of General Motors Newsgram for March 1968. The issue includes: What We Won At General Motors, Canadian Wage Parity, Cost of Living Allowance, Pay Hike Retroactive Cost of Living Protection Preserved, Substantial Wage Increases, Relief Time Retained, Termination Date, Guaranteed Annual Income Credits, Sub, Moving Allowance Raised Substantially, Insurance, Pay Practices, Group Insurance For Early Retirees, Language Anticipating Medicare, Increased Short Work Week Benefits, Basic Pension, Temporary Benefits, Life Income Supplements, Transition Survivor Income Benefit, Bridge Survivor, Credited Service, 35 cent Drug Pan, S and A Benefits, Bereavement Pay, Letter to General Motors From International Union Re Right To Strike, Production Standards, Tuition Refund, Another Paid Holiday, Layoff Disability Benefit (LDB), Group Insurance for Laid-Off Worker, Extended Disability Benefit Program (EDB), Representation, Improvements In Vacation Pay, Life Insurance Upped, Skilled Trades.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.374 | 0.278 |
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".