Bibliographic record
Abstract
United States Citizens better rethink the general adage that Immigration Reform will not directly affect them. Only 27 % of United States Citizens are estimated to possess United States passports. Those United States Citizens with passports will have a distinct advantage over those 73% per cent of us who do not. For example, those United States Citizen without a passport might soon find it more difficult to travel and to procure employment. The Western Hemisphere Travel Initiate (WHTI) now requires one to have a United States' passport to travel aboard including trips to Canada and Mexico and proposed legislation seeks to make the United States passport the only acceptable document in a job application, thereby eliminating a state issued driver's license and a social security card. While the simple remedy would be to obtain a United States passport, application processing and new fee (security, passport, and execution) increases will give new meaning to red tape and timeliness. The new RFID (radio frequency identification) chips might make some United States Citizens guinea pigs and a more likely victim of identity theft. Moreover, some United States Citizens who are more than $5,000.00 in arrears in child support or those with criminal convictions might find themselves ineligible to obtain a United States passport. This article examines the United States passport by exploring its history and its uses. The article also addresses how one obtains a United States passport and the State Department's denial, revocation, and restriction processes. The article concludes that as a consequence of new laws and legislation, United States Citizens should get in line now rather than pay later.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".