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Record W6927285327 · doi:10.25825/fk2/cfogzf/guutv9

Syntax2.sps

2020· dataset· en· W6927285327 on OpenAlexaff

Bibliographic record

VenueUNC Dataverse · 2020
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)

Abstract

fetched live from OpenAlex

The Arab Spring demonstrated that public opinion can powerfully affect the region's political life. Tunisia is particularly important in this regard for being the Arab country where democracy has taken firmest root. This nationwide study sheds light on the state of Tunisian democracy and its prospects by assessing the impact of socio-demographic factors and support for women's rights on democratic attitudes and examining the degree to which major terrorist attacks in 2015 influenced Tunisian public opinion on democracy and the extent to which preference for a democratic system affected opinions on the prospects for democracy. The survey was conducted in three waves just before and just after Tunisia's first major terrorist attack, and just after the country's second major terrorist attack.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.743
Threshold uncertainty score0.859

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0050.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2570.264

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 head0.015
GPT teacher head0.200
Teacher spread0.184 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueUNC Dataverse→Same topicMarine Invertebrate Physiology and Ecology→French-language works237,207→