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Differences Between Gender Treatments in the Work Force LES DIFFÉRENCES DE TRAITEMENT ENTRE LES SEXES DANS LA POPULATION ACTIVE

2010· article· fr· W1916654492 on OpenAlexvenueno aff
Badreya Al-Jenaibi

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsnot available
Fundersnot available
KeywordsWorkforceGlobalizationPolitical sciencePopulationInvestment (military)Gender studiesSociologyLawDemography

Abstract

fetched live from OpenAlex

This research focused on gender differences as one of the most important issues in all aspects of life. Gender discrimination is a global issue, not a local one, particularly in the workplace. Although an important focus in the 1990s, which included important anti-discrimination laws being created in places like the United States and the European Union, unfortunately, in recent years, as globalization has had a dramatic effect on organizations, the issues of gender discrimination have taken a “back burner.” Over the last decade, we have heard the term “knowledge worker” to describe the type of worker who will have an advantage in the new economy. Brown (1999) explains that blue collar workers will be replaced by “information specialists called knowledge workers who are equipped to maintain and expand our technological leadership role in the next century” (Stockard, J., Wood, J.W., 2008, pp.1). With the “Information Revolution,” many cultures are seeing the fruition of this prediction. However, women still lag behind, especially in conservative cultures like the Arabian Gulf nations. This causes a drain on the amount of knowledge that can be contributed because women are often limited in their occupations, even when highly educated as the majority of women in the Arabian Gulf are. The investment made in education for Muslim women is often unrealized in creating the knowledge workforce because of customs, tradition and even religion. Stereotypes regarding gender are still strong around the world, but are exemplified in Muslim cultures. The Literature Review includes different thinking, attitudes, reactions, behaviours, physical and biological characteristics that make each gender perceived in a distinctive, but often stereotypical way (Bravo, M.J., et. al., 2008). The focus will be on the Arabian Gulf cultures. The researcher used the interview method of P.R. practitioners in the UAE to compare their realistic expectations and/or assumptions about gender. Key words: Gender in Arab organizations; UAE organizations; Public relations Practitioners; Interpersonal Conflict TheoryResume: Cette recherche a vise sur les differences entre les sexes en tant que l'un des phenomenes les plus importants dans tous les aspects de la vie. La discrimination sexuelle n'est pas un phenomene local, mais global, et en particulier dans le milieu de travail. Malgre une mise au point importante dans les annees 1990, qui comprenait des lois anti-discriminations importantes en creation dans certains endroits comme les Etats-Unis et l'Union Europeenne, malheureusement, ces dernieres annees, comme la globalisation a eu des effets spectaculaires sur les organisations, les phenomenes de discrimination sexuelle ont pris un retour. Au cours de la derniere decennie, nous avons entendu parler du terme de la designant le type de travailleur qui aura un avantage dans la nouvelle economie. Brown (1999) explique que les cols bleus seront remplaces par des specialistes informatiques, nommes egalement comme des travailleurs de la connaissance, qui sont equipes a fin de maintenir et etendre notre role de leader technologique dans le prochain siecle (Stockard, J., Wood, J.W., 2008, pp.1). Avec la revolution de l'information, de nombreuses cultures demoignent les fruits de cette prediction. Cependant, les femmes restent toujours a la traine, en particulier dans les cultures concervatrices comme les pays du Golfe arabique. Cela provoque une fuite dans l'amont de la connaissance parce que les femmes sont souvent limitees dans leurs occupations, meme si la majorite des femmes dans les pays de Golfe arabique sont tres instruites. Les investissements dans l'education pour les femmes musulmanes sont souvent latents dans la creation de population active de la connaissance, a cause des coutumes, de la tradition et meme de la religion. Les stereotypes lies au sexe sont encore forts dans le monde, mais exemplifies dans les cultures musulmanes.La Revue de la litterature comprend de differents pensees, attitudes, reactions, comportements, caracteristiques physiques et biologiques qui font que chaque sexe est percu de maniere distinctive mais souvent stereotypee (Bravo, MJ, et al. Al., 2008). L'accent sera mis sur les cultures du Golfe arabique. Le chercheur a utilise la methode de l'entrevue de praticien R.P. dans les Emirats arabes unis a fin de comparer leurs attentes realistes et / ou leurs hypotheses sur le sexe.Mots-Cles: sexes dans les organisations arabes; organisations dans les Emirats arabes unis; praticiens de relations publiques; theorie de conflits interpersonnels

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.001
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 head0.058
GPT teacher head0.371
Teacher spread0.313 · 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

Citations15
Published2010
Admission routes1
Has abstractyes

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