MétaCan
Menu
Back to cohort
Record W7162197244 · doi:10.82308/7555

Personal information management among office support staff in a university environment: an exploratory study

2011· dissertation· en· W7162197244 on OpenAlexaboutno aff
François-Xavier Paré

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldDecision Sciences
TopicPersonal Information Management and User Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsExploratory researchContext (archaeology)Grounded theoryData collectionWork (physics)Order (exchange)Personally identifiable informationTest (biology)

Abstract

fetched live from OpenAlex

Since the late 1960s, several studies have investigated personal information management (PIM) in the workplace. However, very few studies have focused on the behaviour of office support staff in a work environment. The purpose of this exploratory study was to examine the document management behaviour of office support staff in a large Canadian university. The methodological approach used for this study was grounded theory. Fifteen in-depth interviews were conducted in participants' offices, and visual observations of their document structures were made. A pre-interview survey was also administered in order to gather additional information. Participants were chosen according to the principles of theoretical sampling, and simultaneous data collection and analysis continued until theoretical saturation was reached. Transcribed interviews were coded, after which abstract concepts were derived and grouped into categories, using the constant comparison method. A substantive theory was then developed. The findings suggest the existence of several distinct document spaces within workers' document landscape: a main folder, secondary folders, the operating system desktop, e-mail, paper documents and shared environments. Behaviour pertaining to the handling of orphan files and multiple versions, the naming of files and folders as well as searching and browsing were described. Overall, despite several elements in common, significant variation was noted among participants. In order to explain the variation observed, a model of the factors that are likely to influence PIM behaviour was developed. It comprises seven main categories of factors: job content, job status, existing documents, relationship with the superior, worker characteristics, organizational context and document attributes. Several of the factors identified had never been mentioned in the PIM literature, while in other cases, the evidence presented helped confirm previous findings. The proposed model also highlights the inherent complexity of PIM, and the importance of adopting an all-encompassing view when analyzing PIM behaviour.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0080.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.122
GPT teacher head0.337
Teacher spread0.215 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same topicPersonal Information Management and User BehaviorFrench-language works237,207