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Record W3157359376 · doi:10.24908/iqurcp.9423

14. The Greek Crisis: The Internet as the Historians Tool

2018· article· en· W3157359376 on OpenAlexvenueno aff
Andrew Marubashi

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTimelineHistoriographyThe InternetNewspaperComparative historical researchHistoryEvent (particle physics)Media studiesPolitical scienceWorld Wide WebSociologySocial scienceComputer scienceArchaeology

Abstract

fetched live from OpenAlex

It has been rightly observed that it will take decades for historians to actually make sense of what happened in world history in 2011. Ultimately, the recentness of any event will determine when a process can be historically analyzed. Even more, there is a lot of discussion on the relationship between history and the Internet, and on histories 'impact' capacity, i.e. its ability to connect with the developments in the wider society. Historians, unlike other disciplines have not utilized the net to service historical study. This research examined the foreign response to the Greek Debt Crisis through looking at the net as a primary source of historical information; looking at the net as a tool in generating further historical information (similar to Oral History). This was achieved through analyzing blogs, online newspaper articles, embassy websites, online journals and other websites that the Internet had to offer. The findings of the research facilitated the creation of multiple timelines based on threats, projections, and a general history. In addition, the research also served as a methodological experiment. Fundamentally, the research concluded that the Internet could be used as a primary source as well as a supplementary source in dealing with a recent event. Moreover it pushed the boundaries of historical distance in historiography.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.009
Scholarly communication0.0020.001
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.137
GPT teacher head0.348
Teacher spread0.210 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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