The Status of Women News Journalists in Lebanese Television: A Field-Gender Approach
Bibliographic record
Abstract
in Lebanese Television: A Field-Gender ApproachThis dissertation examines the status of women in the Lebanese television newsroom using the field theory proposed by Bourdieu, gender theory in relation to journalism studies and the concept of the glass ceiling.Women's newsroom positions, field accomplishments, social and educational capitals, as well as the obstacles they face, are studied alongside the effect of their religious and political affiliation and their strategies of struggle.Utilizing a qualitative research design, individual in-depth interviews were conducted in the fall of 2014.Respondents included 27 newsroom workers, 18 of whom were females and 9 of whom were males chosen from Lebanon's nine official television stations, thereby comprising 2 females and 1 male from each television station.The gendered distribution of the respondents ensured the inclusion of both the male and female perspectives of the newsroom environment.The findings were thematically divided under cultural and social capitals, gendered news division, age and appearance, the glass ceiling, obstacles and advancement strategies.The findings revealed the Lebanese television newsroom as a field that juggles inter-state and intra-state rivalries which are part of the television's politico-sectarian identity.Journalists in this field deal with its politico-sectarian complexities as well as inter-newsroom gendered interaction, subject to socio-cultural influences.This study showed that respondents' career paths are affected in fluid ways by a number of characteristics that intersect with the politicosectarian nature of the Lebanese television and gender.These characteristics, which include age, appearance, parenthood, political and religious affiliations, shape the respondents' experiences and offer them ways to comply with or resist the dominant List of Abbreviations
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".