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Record W2008941487 · doi:10.1080/0194262x.2012.730465

Information Needs and Library Services for Doctoral Students and Postdoctoral Scholars at Georgia State University

2012· article· en· W2008941487 on OpenAlexaff
Robert Tomaszewski

Bibliographic record

VenueScience & Technology Libraries · 2012
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsConcordia University
Fundersnot available
KeywordsInterlibrary loanLibrary scienceFace (sociological concept)State (computer science)SociologyPolitical sciencePublic relationsComputer scienceSocial science

Abstract

fetched live from OpenAlex

Doctoral students and postdoctoral scholars who develop new ideas and discoveries are at the nucleus of university technology transfer programs. A survey was conducted to identify the information and library services needs of doctoral students and postdoctoral scholars in the sciences. Access to journals and databases, interlibrary loan, document delivery, e-books, extended borrowing privileges, and library space are important to this library constituency. This underserved library community needs better marketing of library resources and services through online and face-to-face orientations. Science librarians should consider using social networking channels such as Facebook, LinkedIn, and text messaging. It is recommended that library privileges for postdoctoral scholars be the same as those for doctoral students or faculty.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2012
Admission routes1
Has abstractyes

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