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Record W3120264076

Black Women Community College Professors’ Perceptions of Relational Mentoring and Achieving Tenure

2020· article· en· W3120264076 on OpenAlexfundno aff
Tameka S. Battle

Bibliographic record

VenueFisher Digital Publications (St. John Fisher College) · 2020
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsnot available
FundersYork University
KeywordsPerceptionPeer mentoringHigher educationPublic relationsPsychologyMedical educationPedagogyPolitical scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

This interpretative phenomenological study used theoretical and conceptual frameworks based on critical race theory and relational cultural theory. The purpose was to analyze and understand the perceptions of seven tenured Black women community college professors regarding relational mentoring, navigating barriers, and achieving tenure at a large public university system in the northeastern United States. The underrepresentation of Black women faculty members can be attributed to factors that affect the tenure process, including: gendered racism, social isolation, unreceptive and alienating campus climates, lack of access to research opportunities, discredited scholarly research, increased teaching and service committee assignments, and lack of mentoring. Based on the findings of this study, mentoring and networking programs can help to address and eliminate barriers, and provide support and access to Black women community college faculty members, as well as contribute to the recruitment and retention of minority faculty members. For institutional leaders, this research offers insight into the plight of Black women community college professors as they navigate a tenure process that represents institutional and organizational norms that are entrenched in systemic racism and sexism.

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 categoriesMeta-epidemiology (narrow), 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.058
GPT teacher head0.292
Teacher spread0.234 · 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
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
Published2020
Admission routes1
Has abstractyes

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