Trend 2004 - 2010. National Center for Education Statistics. Academic Library Statistics: United States: Electronic Reference Sources and Aggregation Services - Held at End of FY | Country: USA | Institution: EMBRY RIDDLE AERONAUTICAL UNIVERSITY-PRESCOTT, 2004-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 017-015-036.
Bibliographic record
Abstract
National Center for Education Statistics (2015). Academic Library Statistics: United States: Electronic Reference Sources and Aggregation Services - Held at End of FY | Country: USA | Institution: EMBRY RIDDLE AERONAUTICAL UNIVERSITY-PRESCOTT, 2004-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 017-015-036. Dataset: Reports the total number of electronic reference sources and aggregation services held at the end of the fiscal year in the catalogues of academic libraries in 2- and 4-year degree-granting postsecondary institutions in the 50 United States and Washington, DC. This count includes citation indexes and abstracts; full-text article databases; full-text reference sources (eg, encyclopedias, almanacs, biographical and statistical sources, and other quick fact-finding sources); and dissertation and conference proceedings databases. Licensed electronic resources also include those databases that institutions mount locally. The Academic Library Statistics dataset summarizes services, staff, collections, and expenditures of academic libraries in 2- and 4-year degree-granting postsecondary institutions in the 50 United States and Washington, DC. The data were collected through the Academic Libraries Survey (ALS), a voluntary survey of approximately 3,700 degree-granting postsecondary institutions conducted biennially by the National Center for Education Statistics (NCES) as part of its Library Statistics Program. An academic library is the library associated with a degree-granting institution of higher education and is identified by the postsecondary institution of which it is a part. An academic library is defined as providing: an organized collection of printed or other materials or a combination thereof; a staff trained to provide and interpret such materials as required to meet the informational, cultural, recreational, or educational needs of clientele; an established schedule in which services of the staff are available to clientele; and the physical facilities necessary to support such a collection, staff, and schedule. The data are intended to provide an overview of academic libraries nationwide and by state in order to enable the US to plan effectively for the development and use of postsecondary education library resources. NCES surveyed academic libraries on a three-year cycle between 1966 and 1988. Between 1988 and 1998, the ALS was a component of the Integrated Postsecondary Education Data System (IPEDS) and was collected on a two-year cycle. Beginning with Fiscal Year 2000, the Academic Libraries Survey is no longer a component of IPEDS, but remains on a two-year cycle. Library circulation, interlibrary loans, operating expenditures, and library collections data are for fiscal year, defined as any 12-month period between June 1 and September 30 that corresponds to the institution’s fiscal year. Library staff data are for fall of a given year, and other library services data are for a typical week in the fall of a given year. See the technical documentation available by survey year at http://nces.ed.gov/surveys/libraries/aca_data.asp for detail on data collection and processing; data editing and imputation methodology; and crosswalks of data items and variables between survey years. The total number held is calculated by adding the total number of items added during the fiscal year to the total number of items held at the end of the prior fiscal year, and subtracting the number withdrawn during the fiscal year. Category: Education Source: National Center for Education Statistics The National Center for Education Statistics (NCES) is the primary federal entity in the United States for collecting and analyzing data related to education in the US and other nations. NCES is located within the US Department of Education and the Institute of Education Sciences. The NCES fulfills a congressional mandate to collect, collate, analyze, and report complete statistics on the condition of US education; conduct and publish reports; and review and report on education activities internationally. The NCES is one of four centers (along with the National Center for Education Research, the National Center for Education Evaluation and Regional Assistance, and the National Center for Special Education Research) charged with carrying out the work of the Institute of Education Sciences. http://nces.ed.gov/ Subject: Collections, Academic Libraries
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Insufficient payload (model declined to judge) Domain: not available · Genre: Dataset About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
| gpt | Insufficient payload (model declined to judge) Domain: not available · Genre: Dataset About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
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 | 0.003 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.035 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.094 | 0.120 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".