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Record W7043995846

The voices, views and challenges of migrant women and leadership in Ireland: using a feminist community education as a tool for participation

2014· other· en· W7043995846 on OpenAlexaboutno aff

Bibliographic record

VenueArrow@dit (Dublin Institute of Technology) · 2014
Typeother
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsIrishImmigrationRefugeeQuarter (Canadian coin)PopulationSeekers
DOInot available

Abstract

fetched live from OpenAlex

Background of Research\nIrish society is experiencing people from different socio-cultural groups currently, since the\nturn of the 21st century. As many Irish people emigrated throughout the centuries but the\narrival of large numbers of immigrants from other Europeans and African countries and a\nsmall number of refugees and asylum seekers in Ireland is phenomenon.\nEach year, up to 40,000 immigrants came into Ireland according to Immigrant Council of\nIreland ( ICI;2003). In the last quarter of 2005,there was an indication of currently 253,000\nforeign nationalities from age 15 and above in the country according to Central Statistical\nOffice ( CSO;2005) and the trend is said to continue with the prediction that there will be\nimmigrant foreign born nationals in the population by the year 2030 ( Irish Times 2008).\nRationale for this Study: An Opening Statement\nThere is a growing need to support migrant women to participate into Irish communities and\nsociety. For many, the agony of direct provision is quite a difficult one coupled with the\nissues that ranges from racism, oppression, exploitation, isolation, despondency, depression\nand to a large extent dependency. The phrase ‘direct provision’ is a system where those who\nseek asylum are accommodated and fed in hostels ,or, private/ self-catered for while their\napplication is being processed.\nOut of the need for security and safety, people find themselves so far away from their familiar\nenvironment. Apart from barriers from proper integration, there is also lack of knowledge to\ngetting information about various system of operations in Ireland like, housing, health\nservices , access to education and all other aspects of Irish society. Migrant women in\nparticular are central among other things to the provision and use of many aspect of feminist\ncommunity education and participation.\nMany have seen community education as an opportunity to make up for the poor education\nattainment in previous years. Unfortunately, this form of education has seen a low political\nprofile compared to other aspects of education yet it is the main grassroots to community\ndevelopment, cohesion and integration ( Connolly,1997). Educational participation through\ncommunity is like an extension of church activities, women associations ,literary groups, as\nwell as university extensions through lifelong learning. The motivation for acquisition of\ncommunity education and participation may include social interaction, contacts, engaging in\nknowledge and skills, personal and general development and a way of assessing one’ own\npotential( Slowey,1987).\nFor migrant women in particular, this may also provide an opportunity to move out of the\ncomfort zone that is pure domestic function to transition to independence through the workforce.\nWhile the outcome of most women community education is to empower and connect\nthe disadvantaged and marginalised group like migrant women in order to integrate them\nwith the wider society, yet their low participation is a subject to be looked into in this\nresearch.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0170.022
Scholarly communication0.0140.008
Open science0.0030.018
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.148
GPT teacher head0.310
Teacher spread0.161 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2014
Admission routes1
Has abstractyes

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