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Record W2921284272 · doi:10.18438/eblip29535

Interviews with Library Directors Suggest That Political Capital is Linked to Reputation

2019· article· en· W2921284272 on OpenAlexvenueno aff
Laura Costello

Bibliographic record

VenueEvidence Based Library and Information Practice · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsReputationPoliticsThematic analysisPublic relationsSocial capitalSociologyAlliancePopulationPolitical capitalPolitical scienceQualitative researchLawSocial science

Abstract

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A Review of: O'Bryan, C. R. (2018). The influence of political capital on academic library leadership. Library Leadership & Management, 34(4). Retrieved from https://journals.tdl.org/llm/index.php/llm/article/view/7292 Abstract Objective – To understand how library directors use political capital to overcome challenges and reach goals in their libraries. The author defines political capital as social power that is amassed through reputation and alliance building. This social power can be used to influence decisions and change at an organizational level. Design – Narrative interview. Setting – A large state university system in the Northeastern United States of America. The system includes a network of 64 independent campuses serving different communities with a total population of 460,000 undergraduate and 420,000 graduate students. Subjects – 12 library directors from within a single state university system. Methods – The author conducted in-depth narrative interviews with participants focusing on critical incidents throughout their careers and recent events. The author used restorying, reorganizing the data into chronological order before coding, and thematic analysis, using a software program to code the data and then revisit all the data with finalized codes to make any adjustments. Main Results – Several themes emerged in the interview data including interactions with administration, methods for building political capital, applying and using political capital, and building reputation. Within the interactions with administration theme, the author observed a strong connection in the hierarchy of the institution. Directors expected a high level of engagement and support from their direct reports and felt that providing this type of work to University administration would provide a return on investment for the library in terms of budget and support for new efforts or HR challenges. The theme of administrative turnover emerged as a possible barrier to establishing this relationship. In terms of building political capital, most participants did not set out to do this purposefully but instead sought to develop a reputation as a "team player" willing to participate in campus-wide initiatives and who would return positive outcomes. Participants expressed that it was difficult to know how much political capital they had acquired until they attempted to use it towards a goal. Eight of the participants provided narratives that included applying and using political capital, with two reporting that their political capital diminished after they had applied it towards a goal. Other participants suggested that applying political capital increased their store when it was spent toward accomplishing higher-profile goals. The importance of communication was clear in the building reputation theme, several participants indicated that their communication skills helped establish a reputation for competence and credibility in interactions both up and down the chain of command. Communication was a key factor in developing relationships across the institution, particularly with high-level administrators, and developing relationships was another area of importance for participants. Two of the participants indicated that they had and used political capital in specific areas and for smaller, day-to-day changes. Eight participants used their political capital for bigger initiatives, such as budget, human resources, and library space. Conclusion – While a few of the directors explicitly linked their activities to political capital and felt that applying their political capital increased their standing with stakeholders, most participants did not generally link the development of political capital to individual events. Instead, they suggested that generally establishing reputation and trust through excellent communication and relationship building would help them achieve success toward their goals.

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)0.007
metaresearch head score (Gemma)0.022
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 score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.004
Scholarly communication0.0070.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.003

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 head0.024
GPT teacher head0.297
Teacher spread0.273 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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