001-34490: Request for Relief from Exchange Act Reporting
Bibliographic record
Abstract
“Company”), we hereby submit a request for relief from various reporting requirements under the Securities Exchange Act of 1934, as amended (the “Exchange Act”). The Company respectfully requests that the staff (the “Staff’) of the United States Securities and Exchange Commission (the “Commission”) grant the Company relief from any further reporting requirements under Section 13(a) or 15(d) of the Exchange Act (commencing with relief from the requirement to file its Quarterly Report on Form 10-Q for the quarter ended June 30, 2014), provided that the Company undertakes to disclose any material developments relating to the liquidation and dissolution of the Company by filing Current Reports on Form 8-K. I. BACKGROUND Historical Activities The Company was incorporated in the State of Kansas in 1996 under the name SLH Corporation as a wholly-owned subsidiary of Seafield Capital Corporation (“Seafield”) and initially held certain real estate assets, energy assets, and miscellaneous securities, including a 32.5 % interest in Syntroleum Corporation (“Syntroleum”). In 1997, the Company’s common stock, par value $0.01 per share (the “Common Stock”), and attendant preferred share purchase rights (the “Rights”) were distributed to
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.025 | 0.011 |
| Insufficient payload (model declined to judge) | 0.153 | 0.170 |
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".