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Record W6930916855 · doi:10.5281/zenodo.3479294

Intersectional Analysis of Energy Practices

2017· article· en· W6930916855 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsnot available
FundersHorizon 2020 Framework Programme
KeywordsPrivilege (computing)ReflexivityNegotiationEnergy (signal processing)Perspective (graphical)IntersectionalityIdentity (music)Quarter (Canadian coin)

Abstract

fetched live from OpenAlex

This document examines the energy-related practices that take place in six case-study communities located in France, Ireland, Italy, Spain and the United Kingdom. This exploration is conducted as part of a research project exploring the ‘human factor’ in the energy system, within which a complementary study of the perceptions and attitudes towards energy technologies has also been produced. Both of these studies are taking an intersectional approach to the analysis, recognising that people have multiple, interdependent, overlapping axes of social identity – these studies focus particularly on issues of gender, socio-economic privilege and age. The purpose of the report is to move away from the dominant behaviouralist perspective – wherein people are treated as uniquely rational decision-makers – and introduce the very real social contexts through which they negotiate and understand their role within the energy system; with specific focus on their views on the energy technologies that comprise it. The underlying feelings, assumptions, associations and values held by the people who express them are very real influencing factors on the energy-related practices they engage in on a day-to- day basis. Subsequently, a report will be produced synthesising these two intersectional analyses along with a range of socio-economic, technical, market and policy analyses from the ENTRUST project. It is intended that this report will be updated over the remaining duration of the project, based on ongoing dialogue with the communities; continued reflexive analysis of the collected data; and insights from complementary outputs (not least those mentioned above) with an updated report envisaged for release in quarter one, 2018. The report is laid out into sections, with each one addressing a specific aspect of the work involved to produce this deliverable. The first part, Section 1 offers an overview of the study, exploring the background and context to the report and presenting is aims and objectives. Section 2 presents the philosophical and theoretical framework that underpins the research and examines how behaviours and practices intersect, especially in relation to energy-related practices. An important contribution to this approach has been the applying the key concept of ‘intersectionality’ that has helped move the research beyond the “single-axis analysis” taken elsewhere. Section 3 provides an overview of the methods used in the fieldwork and subsequent data analysis. Section 4 presents a reflexive account of the respective knowledges and understandings of the six case-study communities from ethnographic material generated from the research team’s engagements with the communities. Section 5 presents the findings of the research, collating them within key, overarching themes that emerged from our community engagements, and explores their meaning within the context of the overall research aims and objectives for this deliverable. The final part, Section 6 concludes the report with an overview of those key findings and how they can, as this research suggests, manifest into the energy-related practices seen in the six communities.

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)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.781
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.123
GPT teacher head0.385
Teacher spread0.262 · 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
GenreEmpirical

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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