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Record W4394723075 · doi:10.5260/chara.25.4.15

GreenFILE

2024· article· en· W4394723075 on OpenAlex
Jane Duffy

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Charleston Advisor · 2024
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsMacEwan University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

GreenFILE is an EBSCO database of scholarly, government, news, and general-interest titles covering renewable energy, green building (including net-zero construction), global warming, pollution, recycling, and sustainability. GreenFILE offers extensive coverage of records, including indexing and abstracting services, in sustainability and other areas. The database contains more than one million records, with open access offered for more than 15,000 additional records. Searchable fields include standard fields, such as Abstract, Accession Number, and Author, as well as value-added fields, such as Cover Story, Author Supplied Abstract, and Document Type. GreenFILE offers both Basic and Advanced Search, featuring enhanced Boolean capabilities. Browsers or searchers who are new to environmental subject searching will find aids such as the Definition of Fields Table, Publications Authority File, and Thesaurus Authority File helpful in understanding the scope of the subjects and holdings afforded by this database. GreenFILE offers numerous tutorials designed for every level of researcher, from entry level to advanced.

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 categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0030.012
Open science0.0030.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.074
GPT teacher head0.347
Teacher spread0.273 · 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