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Record W6994215893

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2017· article· en· W6994215893 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Discourse and Social Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)Quarter (Canadian coin)Period (music)Collation
DOInot available

Abstract

fetched live from OpenAlex

Cumhuriyet Theology Journal reguires writers to use the The Chicago Manual of Style “notes and bibliography” system of referencing. First citation: author(s) first name and last name, title, (if applicable) first and last name of translator or editor, place of publication, publisher, date of publication, page number. Subsequent citations: author’s last name, the short title, and the page number should be indicated in all subsequent citations. Footnote citations should conform to the following examples. References: References should be placed at the end of the text in alphabetical order. If a source has more than one author, the surname and name of the first author should be written, and the other authors should be indicated by et.al. The titles of books and journals should be italicized; article titles and book chapters should be placed in quotation marks.

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)0.054
metaresearch head score (Gemma)0.258
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: Methods · Consensus signal: none
Teacher disagreement score0.352
Threshold uncertainty score0.924

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0540.258
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0130.011
Science and technology studies0.0060.004
Scholarly communication0.0200.012
Open science0.0070.007
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.3520.477

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 head0.675
GPT teacher head0.707
Teacher spread0.032 · 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
GenreMethods

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
Published2017
Admission routes1
Has abstractyes

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