Gendering multi-voiced histories of the North American space industry: the GMRD White women
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".