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Record W2153631277 · doi:10.5539/hes.v3n4p15

The Perspective of Women Managing Research Teams in Social Sciences

2013· article· en· W2153631277 on OpenAlexvenueno aff
Marina Tomàs, Diego Castro Ceacero

Bibliographic record

VenueHigher Education Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsInterpersonal communicationPerspective (graphical)PsychologyPerceptionInterpersonal relationshipSociologyPublic relationsMedical educationPedagogySocial psychologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This article presents a research study that focuses on how women manage research teams. More specifically, the study aims to ascertain the perception of female researchers who are leaders of research groups in social sciences with regard to the formation, operation and management of their research teams. Fifteen interviews were carried out, eight at the Universitat Autònoma de Barcelona and seven at the Universidad de Barcelona, representing one quarter of women responsible for research teams in the field of social sciences. Findings suggest that female researchers seek to build highly cohesive teams that engender a good working atmosphere and good interpersonal relationships, with the capacity to generate high academic and scientific performance closely linked to other international groups.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0140.013
Scholarly communication0.0090.004
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.358
GPT teacher head0.505
Teacher spread0.147 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainIncentives
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

Citations1
Published2013
Admission routes1
Has abstractyes

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