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Record W6981306913

Edward Snowden: Big Data, Security, and Human Rights

2016· other· en· W6981306913 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2016
Typeother
Languageen
FieldEngineering
TopicRemote-Sensing Image Classification
Canadian institutionsnot available
Fundersnot available
KeywordsUnited States National Security AgencyAgency (philosophy)Queen (butterfly)Human rightsCivil libertiesConversationDreamPublic broadcastingPolitics
DOInot available

Abstract

fetched live from OpenAlex

Audio stream recorded from YouTube live broadcast for reference only. Low quality audio, intelligible. ____________________________________ Edward Snowden: Big Data, Security, and Human Rights Edward Snowden will join Metro Vancouverites for a conversation live via web-link about the power, promise and peril of big data. Snowden will provide a keynote presentation, followed by a moderated discussion led by CBC’s Senior Correspondent and Host, Laura Lynch and featuring expert panelists Micheal Vonn (BC Civil Liberties Association), Peter Chow-White (SFU), and Fred Popowich (SFU). Audience members will have the opportunity to submit questions via Twitter using the hashtags #snowden and #bigdata during the discussion. Presented in partnership with the SFU President’s Dream Colloquium on Engaging Big Data . TICKETS : Sold out Due to overwhelming demand, SFU Public Square will live-stream the upcoming Edward Snowden lecture at the Queen Elizabeth Theatre on April 5. Viewers can watch the discussion online and submit questions to Snowden via Twitter—including the hashtags #snowden and #bigdata —during the discussion. Visit SFU Public Square’s YouTube channel on the evening of the event to watch it live online. WHEN April 05, 2016 6:00 PM – Doors 7:00 PM – Program WHERE Queen Elizabeth Theatre 650 Hamilton Street, Vancouver BC Edward Snowden @Snowden is an American intelligence contractor who in 2013 revealed the existence of secret wide-ranging information-gathering programs conducted by the National Security Agency (NSA). On May 20, 2013, Snowden flew to Hong Kong after leaving his job at an NSA facility in Hawaii and in early June he revealed thousands of classified NSA documents to journalists Glenn Greenwald, Laura Poitras and Ewen MacAskill. Snowden came to international attention after stories based on the material appeared in The Guardian and The Washington Post . Further disclosures were made by other newspapers including Der Spiegel and The New York Times . A subject of controversy, Snowden has been variously called a hero, a whistleblower, a dissident, a patriot, and a traitor. His disclosures have fueled debates over mass surveillance, government secrecy, and the balance between national security and information privacy. LAURA LYNCH @lauralynchcbc has covered Canada and the world for more than twenty years, being recognized both at home and abroad for her work. She has been the CBC's correspondent based in London and in Washington DC . In both posts, she covered stories that marked crucial moments in world history: the attacks of September 11th, 2001 and their aftermath, the invasion of Afghanistan, the fallout in Pakistan, the bombings of transport systems in London and Madrid. In Africa, Laura went undercover to report on what was happening inside Zimbabwe at a time when journalists were barred from the country. She has also spent time in the Middle East, most recently in Syria and Iran. Since her return to Canada in 2012, Laura has been a regular guest host on The Current , As it Happens and The Sunday Edition . She has won many awards for her work, receiving the prestigious Nieman fellowship for Harvard University, an award from the British Bar Association for a two part documentary series that aired on the BBC World Service, as well as recognition from Amnesty International, the Overseas Press Club in New York and the Gabriel awards. Born and raised in Vancouver, Laura earned a law degree from the University of Victoria and holds a journalism degree from Carleton University.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0580.009

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.

Opus teacher head0.011
GPT teacher head0.201
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it