UC SANTA CRUZ DISSERTATION AND THESIS PREPARATION GUIDELINES
Bibliographic record
Abstract
The submission of the Doctoral dissertation or Master’s thesis is the final step in the program leading to the award of your degree. The manuscript is a scholarly statement of the results of a substantial period of research and preparation. It will be made available for public use in McHenry Library, and published by UMI Dissertation Publishing / ProQuest Information and Learning. For these reasons, the Graduate Council has established guidelines for uniformity in the physical format of the manuscript. The concern of the Graduate Council in establishing these guidelines is to obtain a permanent and readily reproducible form of presentation, and consistency in the arrangement of the contents. The dissertation or thesis must be a professionally finished work in format, style, spelling and appearance. Deadline: All candidates for a degree must submit an Application for Doctor of Philosophy degree or Application for Master’s Degree to Graduate Studies by the date stated in the Academic and Administrative Calendar for the quarter you wish to receive the degree. Registration Requirement: A student is required to be registered or on filing fee status, whichever is applicable, during the quarter in which the degree is conferred. Students should consult Graduate Studies or the department to determine which option fits their situation. A. Number of copies PREPARATION OF FINAL COPIES One approved pdf copy should be submitted through the ProQuest/UMI dissertation site by the date stated on the Academic Calendar. Consult your graduate adviser to determine the number of additional copies required by the faculty committee. Please note that your department may require a separate electronic or paper copy. B. Fonts Embedded fonts REQUIRED. Post Script Type 1 fonts required. Any legible font except script, italic or ornamental fonts, equivalent in scale to 10pt. Arial or 12pt. Times New Roman accepted. However, fonts should not be mixed inappropriately. Italicized font may be used for non-English words and quotations. Applies to all text including captions, footnotes/endnotes, citations, etc.
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 | 0.020 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.493 | 0.539 |
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".