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Record W6910836440 · doi:10.5064/f6buax58/y7yole

Burke_EDI_NENA.ResearcherSurvey.2017.09.24.pdf

2018· dataset· en· W6910836440 on OpenAlex

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

VenueSyracuse University Qualitative Data Repository · 2018
Typedataset
Languageen
Field
Topic
Canadian institutionsMcGill University
Fundersnot available
KeywordsIdentifierPlan (archaeology)Survey data collectionSurvey methodologyScale (ratio)Identification (biology)Data collectionFocus (optics)

Abstract

fetched live from OpenAlex

Researcher-completed survey: This survey is used by the researcher to organize and collect data on each organization or program selected as an Energy Democracy Initiatives (EDI). The survey allows the researcher to identify and organize features or attributes for each selected EDI. This survey is not intended for use with non-researcher respondents. At this stage, the researcher completes the survey using publicly available sources as described in the Methods and Data Management Plan (EDI_NENA.MethodsDMP). Future use as a survey instrument would require approval of appropriate research ethics board. To use this survey, the researcher finds sources to identify a response to each question drawing from publicly available sources such as the EDI website. For each question, the researcher enters or selects the response, provides evidence of this response, and provides information on the source of the evidence. If no evidence is available, researcher responds as “unspecified.” Once compiled, the responses are entered into the database of Energy Democracy Initiatives for this research project (EDI_NENA.initiatives). Survey questions: EDI identifier (researcher-assigned); Name of organization or program; Location of organization or program (postal address of main office); Year of initiation; Organization type GS5 (public, private, nongovernmental/nonprofit, community-based, cooperative, hybrid); Initiation/management or leadership A5 (top-down, bottom-up or hybrid); Social performance measures O1 (e.g., efficiency, equity, accountability, sustainability); Ecological performance measures O2 (e.g., overharvested, resilience, biodiversity, sustainability); Social-ecological emphasis or norms A6 (social, ecological, social-ecological); Breadth of focus or mental models A7 (holistic or specific issues); Geographic range or spatial scale GS2 (local, regional, national, global, cross-scalar); Available technologies TS4 (e.g., solar, wind, hydroelectric, all renewables). One survey per selected EDI. Text and numeric data. Revisable (new data may be added and old data may be changed or deleted). Original researcher survey is created as a text document using Microsoft Word 2016 (.doc) and converted to Rich Text Format (.rtf) as well as PDF (.pdf) file format using PDF version 1.7 (Acrobat 8.x). EDI_NENA.ResearcherSurvey.yyyy.mm.dd

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0000.003
Open science0.0120.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.057

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 head0.201
GPT teacher head0.410
Teacher spread0.209 · 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