Open but not temporally synchronous: temporal asymmetries in scholarly infrastructures

Purpose This study investigates whether open knowledge infrastructures exhibit systematic temporal bias in knowledge ingestion, focusing on differences in indexing speed between high-income and low- and middle-income countries (LMICs). Design/methodology/approach We propose the Critical Temporal Observability Framework (CTOF) and apply an accelerated failure time (AFT) survival model to measure cross-platform temporal lag – days between Crossref metadata deposit and OpenAlex record creation – across 11 countries, four disciplines, and Gold OA status, using a model-eligible sample of 9,645 article records. Findings Articles from LMICs require 18.1% longer cross-platform temporal lag than those from high-income countries (time ratio = 1.181; median gap = 323 days). Gold OA articles exhibit longer lags (time ratio = 1.377) irrespective of country. High temporal observability reveals bias rather than eliminating it. Originality/value CTOF introduces temporal observability as an analytical lens for detecting infrastructural inequalities. Findings challenge the assumption that openness guarantees fairness and offer a practical evaluation tool for librarians and repository managers.

Authors

Institutions

Publication Details

Journal
Library Hi Tech
Published
2026-10-07
DOI
https://doi.org/10.1108/lht-05-2026-0130
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Open but not temporally synchronous: temporal asymmetries in scholarly infrastructures

Ariska Oktavia, Arwendria Arwendria
Library Hi Tech
scientometrics and bibliometrics research
article

Open but not temporally synchronous: temporal asymmetries in scholarly infrastructures

Ariska Oktavia, Arwendria Arwendria
article en

Abstract

Purpose This study investigates whether open knowledge infrastructures exhibit systematic temporal bias in knowledge ingestion, focusing on differences in indexing speed between high-income and low- and middle-income countries (LMICs). Design/methodology/approach We propose the Critical Temporal Observability Framework (CTOF) and apply an accelerated failure time (AFT) survival model to measure cross-platform temporal lag – days between Crossref metadata deposit and OpenAlex record creation – across 11 countries, four disciplines, and Gold OA status, using a model-eligible sample of 9,645 article records. Findings Articles from LMICs require 18.1% longer cross-platform temporal lag than those from high-income countries (time ratio = 1.181; median gap = 323 days). Gold OA articles exhibit longer lags (time ratio = 1.377) irrespective of country. High temporal observability reveals bias rather than eliminating it. Originality/value CTOF introduces temporal observability as an analytical lens for detecting infrastructural inequalities. Findings challenge the assumption that openness guarantees fairness and offer a practical evaluation tool for librarians and repository managers.

Library Hi Tech
Universitas Islam Negeri Imam Bonjol Padang
Openalex Percentile: Top 10%
scientometrics and bibliometrics research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Open but not temporally synchronous: temporal asymmetries in scholarly infrastructures — Ariska Oktavia, Arwendria Arwendria · Library Hi Tech (2026) | TGRS Research Map | TGRS