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Record W3158186345 · doi:10.18438/eblip29626

Library Anxiety Among Marginalized University Students in Northeast India

2021· article· en· W3158186345 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.

venuePublished in a venue whose home country is Canada.
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

VenueEvidence Based Library and Information Practice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyScale (ratio)FeelingPsychologyStratified samplingSample (material)Social psychologyMedical educationGeographyMedicine

Abstract

fetched live from OpenAlex

Objective – Library anxiety experienced by students has been discussed extensively for many decades. While the phenomenon is widely recognized, little attention has been paid to seeing its specific effect on marginalized sections of the society. The study attempts to understand the library anxiety experienced by students at three different universities in Assam. Assam is the only state in Northeast India to have private, state, and central universities. These universities draw their student populations from several different hill states in Northeast India, all of which face significant socio-political-economic challenges. Methods – A stratified random sample technique was used for the study. A total of 150 questionnaires were distributed equally among the three universities in Assam and found 119 questionnaires were fit for analysis. The study adopted the modified and validated version of the Bostick Library Anxiety Scale developed by Anwar, Al-Kandari, and Al-Qallaff (AQAK) in 2004, with 32 item statements and 4 categories. The questionnaire is divided into two parts: Demographic Variables and the Library Anxiety Scale. The categories used for the study were: Category 1 (Staff Approachability) – 11 statements; Category 2 (Feelings of Inadequacy) – 6 statements); Category 3 (Library Confidence) – 8 statements; and Category 4 (Library Constraints) – 7 statements. Results – The study hypothesized that factors such as gender, the language of instruction, type of university, and caste or community do not influence library anxiety among Northeast India students. However, the study's findings suggest that type of university influences library anxiety among students and its three constructs. Tezpur university students experience a higher level of library anxiety. Although no overall significant difference in the level of library anxiety was observed among students across gender (p=0.278, p> 0.05), the language of instruction (p=0.023, p> 0.05), castes and communities (p=0.223, p> 0.05), there was a significant difference in one construct of library anxiety among students based on gender (feelings of inadequacy), the language of education instruction (staff approachability), caste and community (feelings of inadequacy). Conclusions – Results from the present study provided compelling evidence to suggest that many students, irrespective of their gender, the language of instruction, type of university, discipline, and caste or community experience library anxiety. The difference levels of library anxiety among independent variables indicate a critical lack of information literacy skills. Overall, library anxiety scores among the students were moderate; some categories such as staff approachability, the feeling of inadequacy, and library constraint are the attributes of the students' anxiety. However, the findings of the study also suggest that students are confident in using the library. They are optimistic, enthusiastic, and keen to use library resources.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.779
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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