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Record W6981777194

The factors contributing to the perceived strength of female truck drivers

2023· article· en· W6981777194 on OpenAlexaboutno aff

Bibliographic record

VenuePepperdine Digital Commons (Pepperdine University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsMindsetWorkforcePerceptionInterviewNonprobability samplingQualitative researchLived experienceSnowball sampling
DOInot available

Abstract

fetched live from OpenAlex

The perceptions of women in the workforce take different forms. Customarily, the perception of women in the workforce leans toward women being somewhat docile and powerless and needing external empowerment, especially women in male-dominated/oriented fields. The literature conveys this mindset and philosophy that permeates our culture, perpetuates this perception, and influences many women. Nonetheless, women with a different reality or experience need corroboration that supports them and dispels the described cultural influences and the ensuing impact on the next generation. This study investigated women in the trucking industry to unveil the factors contributing to women's innate strength. This qualitative study uses a phenomenological approach, focusing on female commercial truck drivers working in the United States and Canada. The use of purposive sampling provided a basis for selecting the study participants. The participants include 14 female truck drivers, 28 to 75 years old. Individually their lived experience extends from 4 to 44 years, with 250,000 miles to over 4,000,000 miles as professional long-haul drivers. Data collected through interviewing the study participants revealed a broad range of developed capabilities, evolved mental acuity, intrinsic strengths, and several factors contributing to their success. The study’s findings brought to light authentic equality between men and women and their innately endowed differences in the same occupation performing the same work. These women excel and are in several ways superior in performance without the aid of social, political, or governmental programs of equity. Lastly, the lived experiences of the study participants presented evidence of female strength, her ability to forge through life and make agentic choices to overcome seen and unseen obstacles and impediments as God describes an ezer kenegdo (כנגדו עזר). These women exemplified simultaneously residing in and traversing the multiple intersections of life applicable to men and women.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.059
GPT teacher head0.265
Teacher spread0.206 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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