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Record W618571960

Biracial and multiracial students

2008· book· en· W618571960 on OpenAlexaboutno aff
Kristen A. Renn, Paul Shang

Bibliographic record

VenueBibliothèque et Archives nationales du Québec (Québec government) · 2008
Typebook
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Gender studiesContext (archaeology)SociologyRace (biology)PsychologyHistory
DOInot available

Abstract

fetched live from OpenAlex

EDITORS' NOTES ( Kristen A. Renn, Paul Shang ). 1. An Introduction to Social and Historical Factors Affecting Multiracial College Students ( Paul Shang ) This chapter introduces the volume by describing social and higher education challenges that impact the identities and experiences of traditional age biracial and multiracial college students. 2. Research on Biracial and Multiracial Identity Development: Overview and Synthesis ( Kristen A. Renn ) This chapter presents three main bodies of research on identity development of biracial and multiracial college students: foundational theories, ecological models, and psychological studies of the impact of multiracial identity. 3. Exploring the Experiences and Self-Labeling of Mixed-Race Individuals with Two Minority Parents ( Donna M. Talbot ) A student development researcher describes a qualitative study of ten mixed-race young adults whose parents are from different minority monoracial groups (Black, Latino/Hispanic, Asian, or Native American). 4. Student Perspectives on Multiracial Identity ( Alissa R. King ) In the context of research on multiracial student experiences, this chapter provides personal reflections of a multiracial individual on campus at a time when Who am I? and What are you? questions prevail. 5. Multiracial Student Services Come of Age: The State of Multiracial Student Services in Higher Education in the United States ( Michael Paul A. Wong, Joshua Buckner ) The authors describe emerging services to serve multiracial students, the service traditions from which these services evolve, how they are staffed, and their relationships with student organizations. 6. The Space in Between: Issues for Multiracial Student Organizations and Advising ( C. Casey Ozaki, Marc Johnston ) Based on research and experience working with multiracial student organizations and leaders, the authors describe the functions and challenges of these student groups and provide suggestions for student affairs educators who work with them. 7. Being Multiracial in a Wired Society: Using the Internet to Define Identity and Community on Campus ( Heather Shea Gasser ) This chapter describes established and emerging technologies, including online social networking, blogs, and wikis, that affect how multiracial students form communities and express their identities. 8. Bicultural Faculty and Their Professional Adaptation ( Michael J. Cuyjet ) An associate professor and graduate school dean describes the ways that minority faculty members, monoracial and biracial, must learn to be bicultural to thrive in the dominant culture of higher education at predominantly White institutions. 9. Looking North: Exploring Multiracial Experiences in a Canadian Context ( Leanne Taylor ) A Canadian scholar describes a particular context for understanding mixed-race college student experiences outside the United States and raises questions for higher education policy and student services practice. 10. Student Affairs and Higher Education Policy Issues Related to Multiracial Students ( Angela Kellogg, Amanda Suniti Niskode ) This chapter describes student affairs policy issues that have particular impact on multiracial students, such as collecting and reporting data on student race/ethnicity, implementing campus programs and services, and enacting affirmative action. INDEX.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.310
Teacher spread0.293 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2008
Admission routes1
Has abstractyes

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