A national census: state of disability services at historically black colleges and universities
Bibliographic record
Abstract
This study examined the composition and status of disability support services (DSS) among Historically Black Colleges and Universities (HBCUs).A national census was conducted via the dissemination of a web-based self-report questionnaire to 103 designated DSS administrators.Data was collected to capture the institutional landscape and availability of accommodation provisions for students with disabilities (SWD).Procedures were executed to control for the primary four sources of error (coverage, sampling, measurement and nonresponse) relative to survey research.The two research questions posited were as follows: (1) What is the status and composition of support services for SWD at HBCUs? (2) How can services to SWD at HBCUs be developed and implemented?Analyses were guided by four primary research objectives that correspond to the research questions and produced results as follows: 1) A test of two proportion comparisons revealed significant differences in the organizational structure of DSS Offices and the variation in accommodation provisions.Results revealed a need for more centralized, formal DSS Offices and additional accommodation provisions.2) Data suggested that the general distribution of types of disabilities (self-disclosed) in the population of SWD within HBCUs varied substantially.DEDICATION This dissertation is dedicated to my husband, the Rev. Solomon Joseph Cooper; my siblings, Tyrangi Dwight "Ronnie" and Taungia Cherrye Moore; and to my brothersand sisters-in-law, Aaron, Dee and Marcus Cooper and Becky Cooper Ali for all their love and encouragement.My husband is my soul mate.He always supports, encourages and sacrifices unconditionally on my behalf.My siblings have given me a lifetime of support and I'm so proud to be their "baby sister."This dissertation is also dedicated to my father-and mother-in-law, the Presiding Elder Samson Cooper and Mrs. Juanitta Cooper who have become another set of awesome parents.It is dedicated to my nieces and nephews; godchildren, god-nieces and nephews who inspire me.It is also dedicated to the loving memory of my father, Mr. Willie L. Moore, who placed a high premium on family and valued teenage ambitions.It is equally dedicated to my extraordinaire mother, Mrs. Doshie (Cochran) Moore, who instilled an immeasurable degree of love, hope, faith and wisdom in her family to endure life's challenges.She is my role model to whom I owe all that I am, or ever hope to be!It is through the lens of my parents that I learned to persevere, even in the face of adversity.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".