MétaCan
Menu
Back to cohort
Record W2091204707 · doi:10.1108/cb-12-2012-0056

Citation analysis of <i>Collection Building</i> during 2005‐2012

2013· article· en· W2091204707 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCollection Building · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Geographical Thought
Canadian institutionsnot available
Fundersnot available
KeywordsCitationNewspaperSubject (documents)Library scienceCitation analysisCollection developmentMedicineHistorySociologyComputer scienceMedia studies

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to explore the journal bibliometric characteristics of Collection Building and the subject relationship with other disciplines by citation analysis. Design/methodology/approach This study explores the distribution of articles and subjects of references and analyses the various aspects of Collection Building from 2005‐2012. There are 179 articles in Collection Building in eight selected years. In total, 32 issues pertaining to eight volumes of Collection Building were consulted and relevant details of the citations at the end of each article were noted on an excel sheet. The recorded data were analysed, interpreted and tabulated. Findings The results of this study revealed that 179 articles were consulted from eight volumes (2005‐2012) which carried 2,388 citations including 85 self‐citations. The majority of articles (30.17 per cent) recorded between 10‐19 range of citations per article followed by (28.50 per cent) 1‐9 range. The majority of articles were contributed by single authors (65.92 per cent) and majority of contributors were from the USA (69.96 per cent) followed by Canada (3.95 per cent) and India (3.95 per cent) respectively. Journal articles (42.71 per cent) were the most cited source materials, followed by online and electronic sources (25.80 per cent), books including edited books (20.44 per cent), newspapers (5.23 per cent) and so on. Out of 179 articles, tje majority of articles (33.52 per cent) were Research papers followed by Case study (30.73 per cent), Literature review (12.85 per cent) and so on. The majority of articles (66.48 per cent) were recorded between 6‐10 pages, followed by 25.70 per cent articles between 1‐5 pages. Out of 1,020 journal articles, Collection Building (9.02 per cent) was the top ranked journal, followed by The Journal of Academic Librarianship (5.0 per cent) and College &amp; Research Libraries (4.22 per cent). Research limitations/implications Research was limited to the journal entitled Collection Building during eight years (2005‐2012). In total, 32 issues and 179 articles were covered by the study. Originality/value The outcome of the study is an original research work with citation analysis of Collection Building . It highlights the study of 179 articles of Collection Building in various ways.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
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
Bibliometrics0.0020.021
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.273
Teacher spread0.260 · 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