Top women managers as change agents in the machista context of Mexico
Bibliographic record
Abstract
Purpose The purpose of this paper is to focus on top women managers who act as change agents in the machista culture of Mexico. Specifically, the authors centre the attention not only on the strategies performed by these change agents to reduce inequality, but also on understanding the way in which they discursively reproduce or challenge essentialist notions of gender with respect to the cultural and organizational context. Design/methodology/approach Semi-structured interviews were conducted with 12 top women managers in Mexico who are actively involved as change agents. A feminist poststructuralist methodological framework using critical discourse analysis was used to uncover competing notions of gender and related strategies developed to promote gender equality. Findings The analysis reveals that the 12 change agents perform strategies for inclusion, and only half of them engage in strategies for re-evaluation. The authors were unable to recognize whether these change agents are engaged in strategies of transformation. These change agents also reproduce and challenge “essentialist” notions of gender. In some instances – based on their own career experiences and gendered identities – they (un)consciously have adopted essentialism to fit into the cultural context of machista society. They also challenge the gender binary to eradicate essentialist notions of gender that created gender inequalities in the first place. Research limitations/implications The experience of these 12 top women managers may not represent the voice of other women and their careers. Ultimately, intersections with class, organizational level, nationality, race, ethnicity, and sexual orientation must be taken into account so to represent other women’s particular interests with respect to equality. Practical implications For those researchers-consultants who may be involved in an intervention strategy, it is important to focus on helping the change agents in reviewing and reflecting on their own “vision of gender equity”. During the strategic activities of mentoring and training, these change agents could potentially “leak” a particular “vision of gender” to other women and men. Thus, part of the intervention strategy should target the change agent’s self-reflection to influence her capacity to act as change agents. Originality/value The authors contribute to the literature on change agents and interventions for gender equality. Intervention strategies usually centre on essentialist notions of gender. The study offers potential explanations for this approach by paying attention to the process of how change agents, in their efforts to promote gender equality, may be unconsciously projecting their own identities onto others and/or consciously engaging in strategic essentialism to fit into the machista context of Mexico.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".