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Record W7046150425

Climate Change, Work and Workers: A Bibliography

2022· dataset· en· W7046150425 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typedataset
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsDownloadWork (physics)BibliographyConstruct (python library)SQLFunction (biology)
DOInot available

Abstract

fetched live from OpenAlex

This bibliography was created with Zotero software, and consists of over 4000 references to books, journal articles, working papers and reports – with an emphasis on Canadian authors and experience. It is organized by topics, such as Just Transition, Environmental Racism, and Labour union documents. It is also searchable by key words, author, title, and allows users to select items of interest and construct their own bibliographies.
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\nThe database may still be available at https://www.zotero.org/w3citations/library, but has not been maintained or updated since December 2021.
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\nBibliographies derived from the whole database are: Just Transition; Climate initiatives by Canadian labour unions; Environmental Racism. 
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\nThe CSV export from Zotero can be used by those with the Zotero application installed on their computers. To download the free Zotero application, go to https://www.zotero.org/. Download this CSV file to your hard drive, open the Zotero application, and use the “Import” function in Zotero to view the contents.
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\nAn alternative for those with Zotero on their computers: use the compressed folder and move it directly into the Zotero user directory. It consists of an SQL file and a "storage" folder of library items.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.012
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.2880.000

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 head0.015
GPT teacher head0.185
Teacher spread0.170 · 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 teacher head, 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueYork University Digital Library (York University)Same topicMagnetic confinement fusion researchFrench-language works237,207