Media Contracts: Activities and Financial Obligations for Seven Federal Departments
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "The federal government contracts with public relations firms, advertising agencies, media organizations, and individual members of the media to provide, among other things, messages about its programs and services. As we have reported, there is a lack of accurate governmentwide information on these contracts. Seven federal departments account for nearly all the obligated federal dollars for public relations and advertising activities in fiscal year 2003--Commerce, Defense, Health and Human Services, Homeland Security, Interior, Treasury, and Veterans Affairs. GAO submitted a questionnaire to each of these seven departments to obtain information for fiscal year 2003 through the second quarter of fiscal year 2005 on (1) the number of contracts with public relations firms, advertising agencies, media organizations, and individual members of the media for which obligations have been incurred; (2) the total amount of contract obligations incurred on each contract by fiscal year; (3) the method by which the contract was awarded--competed, noncompeted, follow-on to competed action, or not available for competition; and (4) summaries of the purpose and scope of work to be performed under each contract."
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 | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.168 | 0.139 |
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".