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Record W4232639013 · doi:10.32920/ryerson.14654178

Second generation Somali origin children's understanding and organization of their multiple identities

2021· preprint· en· W4232639013 on OpenAlexaboutno aff
Muna Jama

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSomaliIdentity (music)ChoseResidenceIdentity formationGender studiesSociologyPsychologySocial psychologySelf-conceptPolitical scienceDemographyLaw

Abstract

fetched live from OpenAlex

The younger generation of the Somali community has faced certain hardships, in part, as a result the contradiction between their identities at home and their identities in public. The focus of this research was on the saliency of second generation Somali origin children's multiple identities. The 10 children between the ages of 5-10 that were interviewed indicated that they considered their Muslim identity their strongest identity, followed by their Somali identity, then their Black identity and lastly their Canadian identity. Their reasons for choosing the Muslim identity first were due to culture and religion. Their reasons for choosing the Somali identity second was due to the fact that Somalia is their parent's birth place. As for the black identity some of the participants stated reasons related to skin colour as to why they chose this identity while others considered this an identity that did not apply to them. Lastly, they chose the Canadian identity because Canada is their birth place and place of residence. The implications of this study are that both parents and teachers need to be actively encouraging the formation of children's racial and national identity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.078
GPT teacher head0.308
Teacher spread0.230 · 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 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
Published2021
Admission routes1
Has abstractyes

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