MétaCan
Menu
Back to cohort
Record W7071783666

Tencent buys 12 percent stake in Snap

2017· other· en· W7071783666 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

VenueInternet Archive (Internet Archive) · 2017
Typeother
Languageen
FieldComputer Science
TopicBig Data and Digital Economy
Canadian institutionsnot available
Fundersnot available
KeywordsChinaPaymentQuarter (Canadian coin)The InternetSocial mediaLaunched
DOInot available

Abstract

fetched live from OpenAlex

The Chinese internet company Tencent has acquired a 10 percent stake in Snap, with the social media company struggling to boost user growth. China's Tencent has acquired a 12 percent stake in Snap, the parent company of Snapchat/Snap revealed Tuesday that its loss tripled to $443.2 million during the third quarter on weak user growth and revenue.The app is also getting a redesign to make it easier to use.Tencent runs the WeChat messaging app, as well as online payment platforms and games.Earlier this year, it bought a 5 percent stake in Tesla.Itâs been a busy week in cross-Pacific deal making.With President Donald Trump meeting in China with President Xi Jinping for the first time, U.S. and Chinese companies signed deals valued at around $9 billion.

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), Open science, 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 score0.079
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0070.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.031
GPT teacher head0.247
Teacher spread0.217 · 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