2017-07-09 - BTWRLM222 - Silence Kills
Bibliographic record
Abstract
* Telling On Themselves: Rural Cleansing in Idaho and Montana, http://www.thedailyherb.com/telling-on-themselves-rural-cleansing-in-north-idaho-and-montana/ * Molecular electronics scientists shatter ‘impossible' record, https://phys.org/news/2017-07-molecular-electronics-scientists-shatter-impossible.html * Harnessing the energy generated when freshwater meets saltwater, https://phys.org/news/2017-05-harnessing-energy-freshwater-saltwater.html * The Fourth Phase of Water: Dr. Gerald Pollack, https://www.youtube.com/watch?v=i-T7tCMUDXU * Wikileaks Unveils CIA Implants that Steal SSH Credentials from Windows & Linux PCs, http://thehackernews.com/2017/07/ssh-credential-hacking.html * A House Bill Just Put America's Military On A NATO Hair Trigger, http://www.mintpressnews.com/house-bill-americas-military-nato-hair-trigger/229393/ * Federal Judge Blocks California Magazine Confiscation Law: “The Constitution Is A Shield From The Tyranny Of The Majority”, http://www.zerohedge.com/news/2017-07-06/federal-judge-blocks-california-magazine-confiscation-law-constitution-shield-tyrann * Judge rules TX profs can't substantiate campus carry ‘fears', http://www.campusreform.org/?ID=9409 * Breaking: Fatal Courtroom Act Ruins Michael ‘hockey stick' Mann, http://principia-scientific.org/breaking-fatal-courtroom-act-ruins-michael-hockey-stick-mann/ * Major Mistake Found in Congressional Creation of Space Army, http://www.washingtonsblog.com/2017/07/major-mistake-found-congressional-creation-space-army.html * The Biometric Frontier, https://theintercept.com/2017/07/08/border-sheriffs-iris-surveillance-biometrics/ * Russia says Trump accepted Putin's denial on election meddling; US disputes that, http://www.cnbc.com/2017/07/07/trump-look-forward-to-positive-things-happening-from-putin-meeting.html * What right to Impose/Accept w/o proof,#ProbableCauseto demand?, https://twitter.com/BehindaWoodshed/status/883562536112488448 * #ProbableCause, https://www.reallibertymedia.com/tag/probablecause/ * Tillerson: Putin Asked Trump For Proof Of Russia's Interference In The 2016 Election, http://www.zerohedge.com/news/2017-07-07/putin-reveals-what-he-discussed-trump-two-hour-long-first-meeting * Ivanka Trump Sat In for Her Father at the G-20 Leaders' Table, https://www.bloomberg.com/news/articles/2017-07-08/ivanka-trump-sits-in-for-her-father-at-g-20-meeting-table * Why a ‘cashless' society would hurt the poor—a lesson from India, https://phys.org/news/2017-06-cashless-society-poora-lesson-india.html * DEA Allowed Criminal Cops to Build Their Own Drug Empires for Over a Decade, http://thefreethoughtproject.com/dea-ignored-agents-selling-drugs-for-over-a-decade/ * Vatican rocked: Police raid drug-fuelled gay orgy at cardinal's apartment, http://www.nzherald.co.nz/world/news/article.cfm?c_id=2&objectid=11886097 * Cardinal George Pell: Vatican official charged with multiple sexual offences, https://www.theguardian.com/australia-news/2017/jun/29/cardinal-george-pell-charged-with-multiple-sexual-offences * Canadian Baby is World's First Child to Have Gender Marked as ‘Unknown', https://heatst.com/world/canadian-baby-is-worlds-first-child-to-have-gender-marked-as-unknown/ * Client Side, http://lists.jitsi.org/pipermail/users/2016-April/011051.html * General Orders No. 100: The Lieber Code, http://avalon.law.yale.edu/19th_century/lieber.asp
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.717 | 0.668 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".