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Record W4377996780 · doi:10.1515/9783839466889-004

Chapter two: Waking the Poisoned Princess

2023· book-chapter· en· W4377996780 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

Venuetranscript Verlag eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryAeronauticsEngineering

Abstract

fetched live from OpenAlex

When Canadian journalist and Istanbul resident Nick Ashdown had his mobile phone stolen and his mobile phone locator put the device somewhere in Tarlabaşı, Ashdown took to Twitter to rally the help of fellow Tweeps."Anyone in tight with this neighbourhood of Tarlabaşı?It's likely where my stolen phone is," he wrote, both in English and Turkish.The many replies to his seemingly innocuous question ranged from concern to open mockery."You still have your kidneys, right?Check them," one person tweeted, and another: "Even if it was an iPhone 20, nobody would dare to try."Others reverted to images to get the point across.A photograph of Sylvester Stallone as the movie character Rambo, holding a blazing machine gun, was captioned with: "There is only one man who would dare to go there."One Tweet, "Even John Wick can't get his phone from Tarlabaşı", in reference to a series of action movies featuring a retired killer-to-rent out for revenge, went viral.The thread itself became so popular that several Turkish news websites featured listicle pieces on Ashdown's Twitter request.It is unclear if the hapless journalist got his phone back.Why is this social media interaction important?It is unlikely that the Tweet would have gotten as much attention had the mobile phone locator turned up the device in another Istanbul neighbourhood.The Twitter exchanges and online comments show that people think they "know" how dangerous Tarlabaşı is, and the tweets assume this shared knowledge as a given.This is also why the joking comments on the journalist's request work: the question if anyone can help getting a stolen mobile phone back from Tarlabaşı is ridiculous only because the insiders to the joke "know" about the neighbourhood's terrible reputation, and those that do not are mocked as clueless.It is worth pausing to underline the degree to which the stigma attached to Tarlabaşı is pervasive knowledge, and as such, constitutes a social 'truth' so public that not only insiders or invested state actors were aware of it.One of the most puzzling experiences in that regard was with a family of Iraqi Christians from the city of Mosul I had befriended and who lived in the nearby neighbourhood of Kurtuluş.They had fled from Iraq to Turkey via the land route in 2010, after living conditions in their hometown had become untenable due to continuous sectarian violence and war.They told me about attacks on their church back at home in Iraq, about abductions and killings in the streets that had become commonplace.One evening I was sitting in their living room with the

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.073
GPT teacher head0.307
Teacher spread0.234 · 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