Douglas V. Smith, Carrier Battles: Command Decisions in Harm’s Way by Charles Ross Patterson II
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord view that may or may not accord to reality in the ports.Whether the arguments that police and others make are convincing remains a matter for debate.The authors run together the separate words global and local into "glocal," a social scientist nod at cleverness.Moreover, the focus on Brexit and on-going trade disputes between the United States and China in the chapters and conclusion distracts from broader understanding of port policing and security relevant to a far larger number of countries.The book is available in both hardcover and electronic formats.The bibliography does not provide URL links to all open access entries, including my own article "Pacific Gateway" in the Salus Journal (https://salusjournal.com/wpcontent/uploads/2018/03/Madsen_Salus_Journal_ Volume_6_-Number_1_2018_pp_26-4.pdf).The e-book in the Adobe PDF format allows limited links between the text, bibliography, index, and outside sources.The e-book, however, does not come with additional layers of data sets, information, and illustrations (pictures of the authors, for example) which are now possible.Publishers like Bristol University Press are simply content to make a digital copy of the traditional book with the same pagination, at a lower price point.The publisher may restrict the use and availability of content in the digital format at a later date.For this reason, the hardcover paper book sitting on a shelf still has a certain cachet.Ports, Crime and Security is recommended as a primer for anyone from the policy, law enforcement, national security, port management, shipping, and organized trade union communities interested in framing port policing and criminal activity inside major seaports.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".