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Record W131998328 · doi:10.1093/reep/rem017

The Status of Women in Environmental Economics

2007· preprint· en· W131998328 on OpenAlex
Subhra Bhattacharjee, Joseph A. Herriges, Catherine L. Kling

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueReview of Environmental Economics and Policy · 2007
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsRepresentation (politics)PublicationProfessional associationAssociation (psychology)Political scienceWomen in sciencePublic relationsSocial scienceSociologyPsychologyGender studiesLaw

Abstract

fetched live from OpenAlex

This article examines the status of women in the environmental economics profession in terms of their representation and impact. Three indicators are used to gauge the status of women in the profession. They are the representation of women in academia in the United States and Canada, the publication profiles of female environmental economists, and the representation of women in the roles of leadership within the professional association and lead journal of the profession. In a survey of schools with graduate programs in environmental economics, we find that female environmental economists are better represented in the faculty of noneconomics departments than in those of economics departments. A study of the publication profiles of women in the profession's main journal, the Journal of Environmental Economics and Management, indicates that women publish fewer articles on average than their male counterparts, and their papers receive fewer citations on average. Women are well represented in the leadership of the Association of Environmental and Resource Economists and also in editorial positions at the Journal of Environment Economics and Management.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.254
Teacher spread0.218 · 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