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Record W2951840829 · doi:10.1108/jmh-02-2018-0019

Gendering multi-voiced histories of the North American space industry: the GMRD White women

2019· article· en· W2951840829 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

VenueJournal of Management History · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsSaint Mary's UniversityConcordia University
Fundersnot available
KeywordsWhite (mutation)NarrativeSociologyGender studiesSpace (punctuation)OriginalityEthnic groupValue (mathematics)Media studiesSocial scienceAnthropologyQualitative research

Abstract

fetched live from OpenAlex

Purpose The authors focus on “writing women into ‘history’” in this study, embracing the notion of cisgender and ethnicity in relation to the “historic turn”. As such, the authors bring forward the stories of the US Pan American Airway’s Guided Missile Range Division (GMRD) and the White women who worked there. The authors ask what has a Cold War US missile division to tell us about present and future gendered relationships in the North American space industry. Design/methodology/approach The authors apply Foucault’s technology of lamination, a form of critical discourse analysis, to both narrative texts and photographic images in the GMRD’s in-house newsletter, the Clipper , dating from 1964 until the end of 1967. They meld an autoethnography to this technique, providing space for the first author to share her experiences within the contemporary space industry in relation to the GMRD White women experiences. Findings The authors surface, in applying this combined methodology, a story about a White women’s historical, present and future cisgender social reality in the North American space industry. They are contributing then to a multi-voiced, cisgender/ethnic “historic turn” that, to date, is focused on White men alone in the US race to the moon. Social implications The social implication of this study lies in challenging perceptions of the masculinist-gendering of the past by bringing forward tales of, and by, women. This study also brings a White woman’s voice forward, within a contemporary North American space industry organization. Originality/value The authors are making a three-fold contribution to this special issue, and to an understandings of gendered/ethnic multi-voiced histories. The authors untangle the mid-Cold War phase from the essentialized Cold War era. They recreate multi-voiced histories of White women within the North American space industry while adding an important contemporary voice. They also present a novel methodology that combines the technology of lamination with autoethnography, to provide a gateway to recognizing the impact of multi-voiced histories onto contemporary and future gendered/ethnic relationships.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.211
Teacher spread0.196 · 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